Abstract
Adaptive control techniques can provide excellent perfonnance and improve the dynamic perfonnance of plants with non-linear characteristics and variable parameters by allowing the controller parameters to be adjusted as the operating conditions change. The robustness of such controllers can be improved by employing artificial intelligence (AI) techniques. It is possible to either implement the entire algorithm using AI techniques or integrate the analytical and AI techniques such that some functions are performed using the analytical approach while the rest are performed using AI techniques. Examples of successful implementation of various approaches as applied to generator excitation control are given.
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