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Self-tuning expert control for turbogenerator systems

Practical application of adaptive controllers necessitates the incorporation of substantial monitoring or jacketing software. An expert system is proposed to perform such duties, allowing a distinction to be made between the control and identification algorithms, and the accompanying supervisory functions. The implications of employing expert systems for real-time environments are outlined, along with their consequences for control of a turbogenerator excitation system. An industry standard VME platform linked to a network of Inmos T800 transputers is used to establish the self-tuning expert controller. Illustrations are given of how the performance and robustness of the adaptive controller can be greatly improved through expert system intervention, both in simulation and on a laboratory micromachine system.