NERI PROJECT 99-119."A NEW PARADIGM FOR AUTOMATIC DEVELOPMENT OF HIGHLY RELIABLE CONTROL ARCHITECTURES FOR NUCLEAR POWER PLANTS."PHASE-1 PROGRESS REPORT
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This report describes the tasks performed and the progress made during Phase 1 of the DOE-NERI project number 99-119 entitled ''Automatic Development of Highly Reliable Control Architecture for Future Nuclear Power Plants''. This project is a collaboration effort between the Oak Ridge National Laboratory (ORNL,) The University of Tennessee, Knoxville (UTK) and the North Carolina State University (NCSU). ORNL is the lead organization and is responsible for the coordination and integration of all work. This research focuses on the development of methods for automated generation of control systems that can be traced directly to the design requirements for the life of the plant. Our final goal is to ''capture'' the design requirements inside a ''control engine'' during the design phase. This control engine is, then, not only capable of designing automatically the initial implementation of the control system, but it also can confirm that the original design requirements are still met during the life of the plant as conditions change. This control engine captures the high-level requirements and stress factors that the control system must survive (e.g. a list of transients, or a requirement to withstand a single failure). The control engine, then, is able to generate automatically the control-system algorithms and parameters that optimize a design goal and satisfy all requirements. As conditions change during the life of the plant (e.g. component degradation, or subsystem failures) the control engine automatically ''flags'' that a requirement is not satisfied, and it can even suggest a modified configuration that would satisfy it. This control engine concept is shown schematically in Fig. 1. The implementation of this ''control-engine'' design methodology requires the following steps, which are described in detail in the attachments to this report: (1) Selection of Design Requirements Related to Control System Performance; (2) Implementation of Requirements in Mathematical Form; (3) Development of a Control Algorithm Library; (4) Development and Validation of Plant Models; (5) Automated Control Design Development; (6) Development of Control Architectures; (7) Control Design Implementation; and (8) Development of Diagnostics Methods to Update the Plant Model.