HYBRID FEEDBACK LINEARIZATION FUZZY CONTROLLER FOR VARIABLE-RELUCTANCE MOTORS

In this paper the designs of feedback linearization and fuzzy logic co ntrollers for speed control of variable reluctance (VR) motors are pre sented. The controllers so designed, which are based on nonlinear cont rol techniques, are applied to a VR motor model (taking saturation int o account) with the aim of improving dynamic performance as well as re ducing torque and hence speed ripples. Test results obtained through d igital simulations show improvements in torque and speed ripples over the conventional proportional-integral (PI) controller. Finally, a hyb rid controller is designed by using both feedback linearization and fu zzy tracking control algorithms. Simulation test results obtained from the hybrid controller show further-improvements in reducing torque an d speed ripples over the fuzzy as well as feedback linearization contr ollers.