EXPERT CONTROL OF A SELF-TUNING AUTOMATIC VOLTAGE REGULATOR

The practical implementation of self-tuning controllers normally requi res the incorporation of substantial monitoring/jacketing software sch emes. By introducing an expert system to perform such duties, a distin ction can be made between control and identification algorithms, and t heir associated supervisory functions. The adaptive controller has bee n established on an industry-standard VME platform linked to a network of Inmos transputers. Illustrations are given of how the performance and robustness of the self-tuning automatic voltage regulator can be s ignificantly improved, through expert-system intervention, on a 3-kVA laboratory micromachine system.