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A NOVEL INTELLIGENT MULTIPLE-CONTROLLER FRAMEWORK INCORPORATING FUZZY-LOGIC BASED SWITCHING

A novel intelligent multiple-controller framework incorporating a fuzzy-logic based switching supervisor is presented for adaptive control of non-linear systems . The proposed methodology provides the designer with an automated choice of using either: a conventional Proportional-Integral-Derivative (PID) controller, a PID structure based pole (only) placement controller, or a PID structure based (simultaneous) zero and pole placement controller. The switching decision between the different non-linear fixed structure controllers is made on the basis of the required performance measure using a fuzzy logic based supervisor operating at the highest level of the system. Sample simulation results using a realistic non-linear single-input single-output (SISO) plant model are used to demonstrate the effectiveness of the multiple-controller with respect to tracking desired set-point changes and achieving the desired speed of response, whilst penalising excessive control action. Copyright © 2006