MINIMUM RULE BASED PID SLIDING MODE FUZZY CONTROL TECHNIQUES FOR BRUSHLESS DC MOTOR DRIVES

In this paper, a mathematical tunable gain model free PID-like sliding mode fuzzy controller (PIDSMFC) isdesigned to rich the best performance. Sliding mode fuzzy controller is studied because of its model free,stable and high performance. Today, most of systems are used in unknown andunstructured environment and caused to provide sophisticated systems, therefore strong mathematicaltools (e.g., nonlinear sliding mode controller) are used in artificial intelligent control methodologies todesign model free nonlinear robust controller with high performance (e.g., minimum error, good trajectory, disturbance rejection). Non linear classical theories have been applied successfully in many applications, but they also have some limitation. One of the most importantchallenging in pure sliding mode controller and sliding mode fuzzy controller is sliding surface slope. Thispaper focuses on adjusting the gain updating factor and sliding surface slope in PID-like sliding modefuzzy controller to have the best performance and reduce the limitation