Design of fuzzy based iterative learning controllers for induction motor drives

This paper investigates the feasibility and performance of applying fuzzy based iterative learning control algorithms in special control applications of induction motors. Based on different motor operating conditions, two control schemes are studied, i.e., proportional plus various iterative learning control algorithms (P+ILC) and proportional-integral plus various iterative learning control algorithms (PI+ILC) with the aid of on-line parameters tuning using a fuzzy controller. The performances of the proposed control schemes are compared with the conventional P- and PI-type controllers in terms of speed tracking errors and robustness when a periodic disturbance is encountered. In hardware implementations, several complex computational and signal processing tasks are accomplished using the TI DSP2812 chip. The simulation tasks and hardware implementation of controllers with various test examples are carried out via a personal computer, DSP and the VisSim software environment. Both simulation and experimental results are presented to show the performance of the proposed control scheme.