Artificial Intelligent Controller-Based Speed Control of Switched Reluctance Motor

摘要

A new control methodology for controlling the speed of switched reluctance motor (SRM) drive using an intelligent controller is proposed in this paper. The control technology consists of an outer loop fuzzy controller as a speed controller and hysteresis current controller as the inner control loop along with control of switching angles for the four-phase, 8/6 SRM. In this proposed method, the speed control is optimized using the randomly determined fuzzy parameters. Fuzzy interfaced speed control of SRM is simulated using MATLAB/SIMULINK software. The robust performance of the fuzzy logic controller is valued using the least combinations (matrix) of rules for wide ranges of speed and is compared with the proportional-integral (PI) controller. Simulation results reveal that fuzzy-based speed controller gives enhanced performance in the form of quick speed response varies between 0.02sec to 0.12 sec over an extensive range of speed thereby improving the dynamic efficiency of the SRM drive.