System implementation and operations session: Accuracy assessment, system implementation and operation
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Through literature review and questionnaire survey, the purpose of this study is to understand current status and major fields of SEA implementation in China, and then to provide advice for future improvement of SEA system, according to objective evaluation of the effectiveness of SEA implementation. Major types and fields of SEA implementation were firstly studied to conclude that the attitude of decision-makers and competent authority of SEA implementation does generate direct impacts on SEA implementation. Current status of SEA implementation were then studied, in terms of timing, techniques and methodologies, public participation, information disclosure, alternative, and review organization, to conclude that SEA implementation in China is 'impact-based SEA' and the major problems of SEA implementation are resulted from deficient and defective management of SEA system, such as laws, regulations, and means of management. In order to have objective evaluation on the effectiveness of SEA implementation, to understand good practice of SEA implementation, and to provide advice for future improvement of SEA system, it is necessary to establish reasonable and feasible evaluation criteria for the effectiveness of SEA implementation, based upon foreign experience and political, legislative, administrative and cultural characteristics of China. Various types and stages of SEA should be carefully considered to be included into the evaluation criteria for the effectiveness of SEA implementation.
The implementation process involved in translating Strategic Environmental Assessment (SEA) intention into action is vital to an effective SEA. Many factors influence implementation and thus the effectiveness of an SEA. Empirical studies have identified and documented some factors influencing the implementation of an SEA. This research is fragmented, however, and it is still not clear what are the most critical factors of effective SEA performance, and how these relate to different stages of the implementation process or other contextual circumstances. The paper takes its point of departure in implementation theory. Firstly, we introduce implementation theory, and then use it in practice to establish a more comprehensive model related to the stages in the implementation process. Secondly, we identify the critical factors in order to see how they are related to the different stages of SEA or are more general in character. Finally we map the different critical factors and how they influence the overall results of an SEA. Based on a literature review, we present a comprehensive picture of the critical factors and where they are found in the process. We conclude that most of the critical factors identified are of a more general character influencing the SEA process as such, while only one out of four of these factors relates to the specific stages of the SEA. Based on this mapping we can sketch a picture of the totality of critical factors. In this study 266 notions of critical factors were identified. Seen at the level of notions of critical factors, only 24% of these relate to specific stages while for 76% the critical factors are of a more general nature. These critical factors interact in complex ways and appear in different combinations in different stages of the implementation process so tracing the cause and effect is difficult. The pervasiveness of contextual and general factors also clearly suggests that there is no single way to put SEA into practice. The paper identifies some of the critical factors for effective SEA implementation, but further research is still needed to conclude which factors are more critical than others, just as the contingencies on which they depend are not easy to unravel. - Highlights: Black-Right-Pointing-Pointer The research on critical factors influencing SEA implementation is fragmented. Black-Right-Pointing-Pointer The critical factors are used to discuss 'hot-spots' in the implementation process. Black-Right-Pointing-Pointer Critical factors are just as broad as the concept of effectiveness. Black-Right-Pointing-Pointer Both stage and general factors are relevant in explaining the effectiveness of SEA.
Achieving speed and accuracy for math library functions like exp, sin, and log is difficult. This is because low-level implementation languages like C do not help math library developers catch mathematical errors, build implementations incrementally, or separate high-level and low-level decision making. This ultimately puts development of such functions out of reach for all but the most experienced experts. To address this, we introduce MegaLibm, a domain-specific language for implementing, testing, and tuning math library implementations. MegaLibm is safe, modular, and tunable. Implementations in MegaLibm can automatically detect mathematical mistakes like sign flips via semantic wellformedness checks, and components like range reductions can be implemented in a modular, composable way, simplifying implementations. Once the high-level algorithm is done, tuning parameters like working precisions and evaluation schemes can be adjusted through orthogonal tuning parameters to achieve the desired speed and accuracy. MegaLibm also enables math library developers to work interactively, compiling, testing, and tuning their implementations and invoking tools like Sollya and type-directed synthesis to complete components and synthesize entire implementations. MegaLibm can express 8 state-of-the-art math library implementations with comparable speed and accuracy to the original C code, and can synthesize 5 variations and 3 from-scratch implementations with minimal guidance.
China is the new leader in the global construction market, with $1,000 billion invested into new construction projects in 2010. With its already significant building stock, high construction rate of new buildings, and strong governmental commitment to improving building energy efficiency, China is positioned to have great influence on global building energy use in the years to come. Building energy efficiency was first addressed in the mid 1980s, after China developed its new political doctrine of “Socialism with Chinese Characteristics” in the late 1970s and launched its unprecedented economic reform. Since then, the development of building energy efficiency policy has gone through into five stages: (1) early research and preparation, (2) pilots and demonstrations, (3) institution development and goal setting, (4) goal implementation, and (5) development and implementation of an array of policies and projects promoting building energy efficiency (Chapter 2). Building energy standards and codes are one important policy instrument targeted by Chinese government. Over three decades of governmental efforts, China has successfully established a comprehensive system of building energy standards and codes. The system covers the life cycle process of a building project, from design, construction and acceptance, inspection, evaluation, modification, products and selection of building materials to building operation. This project, the DOS project, is focused on the implementation of four building energy codes: three of which are design standards (two for residential buildings and one for public/commercial) and one is a code of construction and acceptance (Chapter 3). The current implementation status of building energy codes in China is a tale of two extremes: while there is no implementation in rural areas, the implementation in urban areas is very encouraging. The compliance rates of building energy codes in both the design and construction stages in the inspected large- and mid-size cities were a stunning 98% and 90%, respectively, in 2009. The impressive compliance rates come from establishing an implementation system that consists of a complete loop of the monitoring and inspection subsystem: building design companies, building inspection companies, construction companies, construction inspection companies, testing companies and labs (all of them are third parties), and semi-governmental quality supervision stations to oversee the implementation process (Sections 4.1 and 4.2). Besides the unique, active engagement of third parties, China’s implementation practices are also equipped with strict penalties for violations (Section 4.3), annual inspection for building energy efficiency (Section 4.4), and comprehensive national title exams for key stakeholders (Section 4.5.1). So, what are the challenges faced by key stakeholders when they implement building energy codes? Through stakeholder meetings, focus group meetings, training seminars, onsite construction visits, and personal communications, the project team concluded that training and information dissemination is the ignored, under-invested, and weak component in China’s current implementation practices (Section 6.1).
Purpose: Volumetric modulated arc therapy (VMAT) optimization is a computationally challenging problem due to its large data size, high degrees of freedom, and many hardware constraints. High-performance graphics processing units (GPUs) have been used to speed up the computations. However, GPU’s relatively small memory size cannot handle cases with a large dose-deposition coefficient (DDC) matrix in cases of, e.g., those with a large target size, multiple targets, multiple arcs, and/or small beamlet size. The main purpose of this paper is to report an implementation of a column-generation-based VMAT algorithm, previously developed in the authors’ group, on a multi-GPU platform to solve the memory limitation problem. While the column-generation-based VMAT algorithm has been previously developed, the GPU implementation details have not been reported. Hence, another purpose is to present detailed techniques employed for GPU implementation. The authors also would like to utilize this particular problem as an example problem to study the feasibility of using a multi-GPU platform to solve large-scale problems in medical physics. Methods: The column-generation approach generates VMAT apertures sequentially by solving a pricing problem (PP) and a master problem (MP) iteratively. In the authors’ method, the sparse DDC matrix is first stored on a CPU in coordinate list format (COO). On the GPU side, this matrix is split into four submatrices according to beam angles, which are stored on four GPUs in compressed sparse row format. Computation of beamlet price, the first step in PP, is accomplished using multi-GPUs. A fast inter-GPU data transfer scheme is accomplished using peer-to-peer access. The remaining steps of PP and MP problems are implemented on CPU or a single GPU due to their modest problem scale and computational loads. Barzilai and Borwein algorithm with a subspace step scheme is adopted here to solve the MP problem. A head and neck (H and N) cancer case is then used to validate the authors’ method. The authors also compare their multi-GPU implementation with three different single GPU implementation strategies, i.e., truncating DDC matrix (S1), repeatedly transferring DDC matrix between CPU and GPU (S2), and porting computations involving DDC matrix to CPU (S3), in terms of both plan quality and computational efficiency. Two more H and N patient cases and three prostate cases are used to demonstrate the advantages of the authors’ method. Results: The authors’ multi-GPU implementation can finish the optimization process within ∼1 min for the H and N patient case. S1 leads to an inferior plan quality although its total time was 10 s shorter than the multi-GPU implementation due to the reduced matrix size. S2 and S3 yield the same plan quality as the multi-GPU implementation but take ∼4 and ∼6 min, respectively. High computational efficiency was consistently achieved for the other five patient cases tested, with VMAT plans of clinically acceptable quality obtained within 23–46 s. Conversely, to obtain clinically comparable or acceptable plans for all six of these VMAT cases that the authors have tested in this paper, the optimization time needed in a commercial TPS system on CPU was found to be in an order of several minutes. Conclusions: The results demonstrate that the multi-GPU implementation of the authors’ column-generation-based VMAT optimization can handle the large-scale VMAT optimization problem efficiently without sacrificing plan quality. The authors’ study may serve as an example to shed some light on other large-scale medical physics problems that require multi-GPU techniques.
In 2008, the U.S. Department of Energy (DOE) began assisting selected non-nuclear weapon states in planning and preparing for implementation of the International Atomic Energy Agency’s Additional Protocol (AP). Since then, the AP international implementation program has contributed to the substantial progress made by Vietnam, Thailand, Iraq, and Malaysia in preparing for entry-into-force of the AP. An overall engagement plan has been developed with components designed to train government AP implementing agencies, inform policy makers, conduct outreach to industry and universities, make AP reporting software available and useful, and plan a detailed approach for implementing the declaration and complementary access provisions of the AP. DOE recently began collaborating with Indonesia, which has already entered the AP into force, requiring a second method of engagement somewhat different from that taken with countries that have not entered the AP into force. The AP international implementation program, administered by the International Nuclear Safeguards and Engagement Program, is working more closely with DOE’s International Nonproliferation Export Control Program to ensure countries are aware of and prepared to implement the export/import provisions of the AP. As the AP implementation program matures and helps move countries closer to entry-into-force or improved AP implementation, it is identifying characteristics of a country’s “end-state” that indicate that DOE assistance is no longer required. The U.S. AP Implementation Act and Senate Resolution of Ratification require the Administration to report annually to Congress on measures taken to achieve the adoption of the AP in non-nuclear weapon states. DOE’s AP international implementation program is a significant part of these measures. This paper describes recent developments to increase the scope and effectiveness of the program.
The Philippines entered into force the International Atomic Energy Agency (IAEA) Additional Protocol (AP) in February 2010. The Philippine Nuclear Research Institute (PNRI) is the government agency responsible for implementing the AP. In June 2010 the IAEA invited the U.S. Department of Energy (DOE) to help conduct a joint national training seminar on the AP. DOE presented to PNRI its AP international technical assistance program, administered by the International Nuclear Safeguards and Engagement Program (INSEP), which helps partner countries implement the AP. In coordination with the IAEA, DOE established this program in 2008 to complement IAEA AP seminars with long-term country-specific cooperation from the perspective of a Member State. The US version of the AP is the same version as that of non-nuclear weapon states except for the addition of a national security exclusion. Due to this, DOE cooperation with other countries enables the sharing of valuable lessons learned in implementing the AP. DOE/INSEP described to PNRI the various areas of cooperation it offers to interested countries, whether they are preparing for entry into force or already implementing the AP. Even countries that have entered the AP into force are sometimes not fully prepared to implement it well, and welcome cooperation to improve their implementation process. PNRI and DOE/INSEP subsequently agreed to cooperate in several areas to enhance the efficiency and effectiveness of the Philippines AP implementation. These areas include providing working-level training to PNRI staff and preparing an information document that details that training for future reference, assisting with the development of an outreach program and procedures for AP reporting and complementary access, and identifying Annex II equipment and non-nuclear materials whose export must be reported under the AP. DOE laboratory representatives, funded by INSEP, met again with PNRI in February 2011 to provide training for PNRI AP staff and investigate specific ways to improve implementation. Another meeting in July 2011 focused on preparations for outreach to industry and universities. In this paper PNRI describes current implementation of the AP in the Philippines, and both DOE/INSEP and PNRI provide their perspectives on their cooperation to enhance that implementation.
This report describes the progress of the CONTAIN-LMR sodium physics and chemistry models to be implemented in to MELCOR 2.1. It also describes the progress to implement these models into CONT AIN 2 as well. In the past two years, the implementation included the addition of sodium equations of state and sodium properties from two different sources. The first source is based on the previous work done by Idaho National Laborat ory by modifying MELCOR to include liquid lithium equation of state as a working fluid to mode l the nuclear fusion safety research. The second source uses properties generated for the SIMMER code. Testing and results from this implementation of sodium pr operties are given. In addition, the CONTAIN-LMR code was derived from an early version of C ONTAIN code. Many physical models that were developed sin ce this early version of CONTAIN are not captured by this early code version. Therefore, CONTAIN 2 is being updated with the sodium models in CONTAIN-LMR in or der to facilitate verification of these models with the MELCOR code. Although CONTAIN 2, which represents the latest development of CONTAIN, now contains ma ny of the sodium specific models, this work is not complete due to challenges from the lower cell architecture in CONTAIN 2, which is different from CONTAIN- LMR. This implementation should be completed in the coming year, while sodi um models from C ONTAIN-LMR are being integrated into MELCOR. For testing, CONTAIN decks have been developed for verification and validation use. In terms of implementing the sodium m odels into MELCOR, a separate sodium model branch was created for this document . Because of massive development in the main stream MELCOR 2.1 code and the require ment to merge the latest code version into this branch, the integration of the s odium models were re-directed to implement the sodium chemistry models first. This change led to delays of the actual implementation. For aid in the future implementation of sodium models, a new sodium chemistry package was created. Thus reporting for the implementation of the sodium chemistry is discussed in this report.
An important aspect of successful Nuclear Power Plant (NPP) digital control system upgrade projects is to upgrade the Operator Training Simulator (OTS) or a related Engineering Simulator (ES), prior to installation of the Distributed Control System (DCS) on the plant allowing for early testing of the digital controls/HMI and for early training of the plant operators while maintaining OTS configuration management (i.e. OTS in sync with the plant's current design). Experience has shown that early implementation of digital upgrades on the OTS and/or an ES can reduce plant startup duration (related to digital systems commissioning) and ensure operators are proficient with the new digital systems to ensure safe and reliable plant operation. Including simulators in the design process offers many benefits including early identification of design deficiencies, testing deficiency fixes, developing and validating plant procedures and supporting human factors engineering, to name a few. Implementing digital upgrades on the OTS is also a regulatory requirement driven by the ANSI/ANS-3.5-2009 standard (Nuclear Power Plant Simulators for Use in Operator Training and Examination) if the new DCS affects actions to be taken by the plant operator in the main control room. This paper presents the benefits of implementing digital upgrades on the OTS and/or ES prior to plant implementation. The various simulator implementation strategies (stimulation, emulation, simulation or a hybrid solution) and selection factors are discussed. The paper also covers four (4) case studies demonstrating how digital upgrades can be implemented on simulators. The first case study covers the implementation of a Siemens offgas Programmable Logic Controller (PLC) system on the Enrico Fermi OTS (Michigan). The second case study covers the implementation of a GE main generator excitation system on the Cernavoda OTS (Romania). The third case study covers the implementation of a Siemens main feedwater control system on the Callaway OTS and ES (Missouri). The final case study covers the implementation of the non-safety related and safety related DCS on the Nuclear New Build (NNB) Hongyanhe Phase I dual-purpose OTS/ES (China). (authors)
The U.S. Department of Energy (DOE) released a new version of the standard for the Preparation of Non-reactor Nuclear Facility Documented Safety Analysis, DOE-STD-3009-2014. Although this revised standard only specifically applies to new facilities, major modifications to existing facilities, and existing facilities with mitigated offsite consequences greater than 25 rem, other existing DOE nuclear facilities are beginning to implement the new requirements in this revised standard as well. The most obvious change is the consolidation of the eleven Safety Management Program (SMP) chapters into a single chapter. However, development of a compliant safety analysis is more than an effort in shuffling these sections. Examples of the substantive changes include: a more rigorous approach to defense-in-depth; a more comprehensive process for functionally classifying safety-supporting structures, systems and components; explicit direction for evaluating chemical hazards; and additional quantitative analysis for co-located workers. For any facility, the publication of an approved Documented Safety Analysis (DSA) and associated Technical Safety Requirements (TSRs) is a significant milestone. However, implementation of the DSA/TSR is often the greater challenge. Ensuring that the implementing assumptions, analysis inputs, and operational limitations are realistic is critical to this success. This should be addressed in the safety basis strategy document. In addition, DSA implementation must occur using a logical and planned approach. The approach should address the following: - Procedure preparation, review and verification; - Operator, mechanic, technician, and support staff training; - Management assessments to evaluate SMP effectiveness; and - Independent assessments to confirm effective DSA implementation. This project approach to managing DSA/TSR development and implementation has been demonstrated as successful at multiple DOE sites. Lessons learned associated with all of these topics will be discussed in the context of the new DOE-STD-3009-2014 requirements. The discussed lessons are taken from the multiple DOE sites and facilities. The presentation describes implemented approaches for successful incorporation of these lessons. While the context for the presentation is DOE-STD-3009-2014, the need to properly manage safety basis development and implementation applies to all nuclear facilities. Thus the lessons and implementation strategies should appeal to a general audience interested in safety basis development. (authors)
Introduction We previously developed a PBPK model template that consists of a single model “superstructure” with equations and logic found in many physiologically based pharmacokinetic (PBPK) models. Using the template, one can implement PBPK models with different combinations of structures and features. Methods To identify factors that influence computational time required for PBPK model simulations, we conducted timing experiments using various implementations of PBPK models for dichloromethane and chloroform, including template and stand-alone implementations, and simulating four different exposure scenarios. For each experiment, we measured the required computational time and evaluated the impacts of including various model features (e.g., number of output variables calculated) and incorporating various design choices (e.g., different methods for estimating blood concentrations). Results We observed that model implementations that treat body weight and dependent quantities as constant (fixed) parameters can result in a 30% time savings compared with options that treat body weight and dependent quantities as time-varying. We also observed that decreasing the number of state variables by 36% in our PBPK model template led to a decrease of 20–35% in computational time. Other factors, such as the number of output variables, the method for implementing conditional statements, and the method for estimating blood concentrations, did not have large impacts on simulation time. In general, simulations with PBPK model template implementations of models required more time than simulations with stand-alone implementations, but the flexibility and (human) time savings in preparing and reviewing a model implemented using the PBPK model template may justify the increases in computational time requirements. Conclusion Our findings concerning how PBPK model design and implementation decisions impact computational speed can benefit anyone seeking to develop, improve, or apply a PBPK model, with or without the PBPK model template.
In this research, we have proposed the (64, 40, 8) subcode of the third-order Reed-Muller (RM) code to NASA for high-speed satellite communications. This RM subcode can be used either alone or as an inner code of a concatenated coding system with the NASA standard (255, 233, 33) Reed-Solomon (RS) code as the outer code to achieve high performance (or low bit-error rate) with reduced decoding complexity. It can also be used as a component code in a multilevel bandwidth efficient coded modulation system to achieve reliable bandwidth efficient data transmission. This report will summarize the key progress we have made toward achieving our eventual goal of implementing a decoder system based upon this code. In the first phase of study, we investigated the complexities of various sectionalized trellis diagrams for the proposed (64, 40, 8) RM subcode. We found a specific 8-trellis diagram for this code which requires the least decoding complexity with a high possibility of achieving a decoding speed of 600 M bits per second (Mbps). The combination of a large number of states and a high data rate will be made possible due to the utilization of a high degree of parallelism throughout the architecture. This trellis diagram will be presented and briefly described. In the second phase of study which was carried out through the past year, we investigated circuit architectures to determine the feasibility of VLSI implementation of a high-speed Viterbi decoder based on this 8-section trellis diagram. We began to examine specific design and implementation approaches to implement a fully custom integrated circuit (IC) which will be a key building block for a decoder system implementation. The key results will be presented in this report. This report will be divided into three primary sections. First, we will briefly describe the system block diagram in which the proposed decoder is assumed to be operating and present some of the key architectural approaches being used to implement the system at high speed. Second, we will describe details of the 8-trellis diagram we found to best meet the trade-offs between chip and overall system complexity. The chosen approach implements the trellis for the (64, 40, 8) RM subcode with 32 independent sub-trellises. And third, we will describe results of our feasibility study on the implementation of such an IC chip in CMOS technology to implement one of these subtrellises.
In his research, we have proposed the (64, 40, 8) subcode of the third-order Reed-Muller (RM) code to NASA for high-speed satellite communications. This RM subcode can be used either alone or as an inner code of a concatenated coding system with the NASA standard (255, 233, 33) Reed-Solomon (RS) code as the outer code to achieve high performance (or low bit-error rate) with reduced decoding complexity. It can also be used as a component code in a multilevel bandwidth efficient coded modulation system to achieve reliable bandwidth efficient data transmission. This report will summarize the key progress we have made toward achieving our eventual goal of implementing a decoder system based upon this code. In the first phase of study, we investigated the complexities of various sectionalized trellis diagrams for the proposed (64, 40, 8) RM subcode. We found a specific 8-trellis diagram for this code which requires the least decoding complexity with a high possibility of achieving a decoding speed of 600 M bits per second(Mbps). The combination of a large number of states and a high data rate will be made possible due to the utilization of a high degree of parallelism throughout the architecture. This trellis diagram will be presented and briefly described. In the second phase of study which was carried out through the past year, we investigated circuit architectures to determine the feasibility of VLSI implementation of a high- speed Viterbi decoder based on this 8-section trellis diagram. We began to examine specific design and implementation approaches to implement a fully custom integrated circuit (IC) which will be a key building block for a decoder system implementation. The key results will be presented in this report. This report will be divided into three primary sections. First, we will briefly describe the system block diagram in which the proposed decoder is assumed to be operating and present some of the key architectural approaches being used to implement the system at high speed. Second, we will describe details of the 8-trellis diagram we found to best meet the trade-offs between chip and overall system complexity. The chosen approach implements the trellis for the (64, 40, 8) RM subcode with 32 independent sub-trellises. And third, we will describe results of our feasibility study on the implementation of such an IC chip in CMOS technology to implement one of these subtrellises.
Much has been made of the capabilities of Field Programmable Gate Arrays (FPGA's) in the hardware implementation of fast digital signal processing functions. Such capability also makes an FPGA a suitable platform for the digital implementation of closed loop controllers. Other researchers have implemented a variety of closed-loop digital controllers on FPGA's. Some of these controllers include the widely used Proportional-Integral-Derivative (PID) controller, state space controllers, neural network and fuzzy logic based controllers. There are myriad advantages to utilizing an FPGA for discrete-time control functions which include the capability for reconfiguration when SRAM- based FPGA's are employed, fast parallel implementation of multiple control loops and implementations that can meet space level radiation tolerance requirements in a compact form-factor. Generally, a software implementation on a Digital Signal Processor (DSP) device or microcontroller is used to implement digital controllers. At Marshall Space Flight Center, the Control Electronics Group has been studying adaptive discrete-time control of motor driven actuator systems using DSP devices. While small form factor, commercial DSP devices are now available with event capture, data conversion, Pulse Width Modulated (PWM) outputs and communication peripherals, these devices are not currently available in designs and packages which meet space level radiation requirements. In general, very few DSP devices are produced that are designed to meet any level of radiation tolerance or hardness. An alternative is required for compact implementation of such functionality to withstand the harsh environment encountered on spacemap. The goal of this effort is to create a fully digital, flight ready controller design that utilizes an FPGA for implementation of signal conditioning for control feedback signals, generation of commands to the controlled system, and hardware insertion of adaptive-control algorithm approaches. Radiation tolerant FPGA's are a feasible option for reaching this goal.
Much has been made of the capabilities of FPGA's (Field Programmable Gate Arrays) in the hardware implementation of fast digital signal processing. Such capability also makes an FPGA a suitable platform for the digital implementation of closed loop controllers. Other researchers have implemented a variety of closed-loop digital controllers on FPGA's. Some of these controllers include the widely used proportional-integral-derivative (PID) controller, state space controllers, neural network and fuzzy logic based controllers. There are myriad advantages to utilizing an FPGA for discrete-time control functions which include the capability for reconfiguration when SRAM-based FPGA's are employed, fast parallel implementation of multiple control loops and implementations that can meet space level radiation tolerance requirements in a compact form-factor. Generally, a software implementation on a DSP (Digital Signal Processor) or microcontroller is used to implement digital controllers. At Marshall Space Flight Center, the Control Electronics Group has been studying adaptive discrete-time control of motor driven actuator systems using digital signal processor (DSP) devices. While small form factor, commercial DSP devices are now available with event capture, data conversion, pulse width modulated (PWM) outputs and communication peripherals, these devices are not currently available in designs and packages which meet space level radiation requirements. In general, very few DSP devices are produced that are designed to meet any level of radiation tolerance or hardness. The goal of this effort is to create a fully digital, flight ready controller design that utilizes an FPGA for implementation of signal conditioning for control feedback signals, generation of commands to the controlled system, and hardware insertion of adaptive control algorithm approaches. An alternative is required for compact implementation of such functionality to withstand the harsh environment encountered on spacecraft. Radiation tolerant FPGA's are a feasible option for reaching this goal.