Performance monitoring in expert control systems

Abstract A general structure of a real-time expert controller (EC) is proposed in this paper. The controller consists of (i) a knowledge-base, (ii) a real-time inference engine, (iii) a real-time information pre-processor, and (iv) control mechanisms. A real-time information pre-processor is developed. It contains a set of digital signal processing schemes which are used to monitor the overall system performance and diagnose potential control system component failures. Both forward-chaining and backward-chaining inference mechanisms are used in the inference engine. The knowledge-base and the inference engine are constructed using PROLOG, and the C language is used to implement the information pre-processor. The EC is implemented in real-time on a microcomputer. The performance of a prototype EC using the designed information pre-processor is evaluated by simulating in real-time various types of failures in a hydraulic turbine generator governor system.

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