Nitin J. Patil, Rajan H. Chile, and Laxman M. Waghmare
Adaptive, fuzzy logic, PI controller, speed control, PMSM drive
An improved adaptive fuzzy proportional-integral (PI) controller (AFPIC) structure in which output of the direct fuzzy logic controller (FLC) tuned using fuzzy adaptive block is presented. The adaptive block consists of fuzzy controller based on model error. AFPIC has quick adapting features and reference signal following in variable system parameter conditions. The adaptive block monitors the plant response and modifies the output of direct fuzzy controller based on process error, thus by forcing the overall closed loop system to perform as reference model. In the present method, process error is input to direct fuzzy controller and model error is the input to the adaptive fuzzy block. The fuzzy controller based on the model error generates a compensation signal which is added to control signal generated by direct fuzzy controller. The AFPIC is tested for well-known speed control process. The improved performance can be observed using the AFPIC. This is shown by graphical results obtained and a performance criterion with model reference fuzzy adaptive controller.
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