An Intelligent Self-Tuning PI Type Fuzzy Logic Controller for a Switched Reluctance Motor Drive

This paper presents an application of self tuning fuzzy control technique for a Switched Reluctance Motor (SRM) Drive. In this research, the output-scaling factor (α) is adjusted in online by the gain tuning Fuzzy Logic Controller (GTFLC) rules according to the current status of SRM. The rule base of GTFLC for tuning the output SF is defined on error (e) and change of error (∆e) of the controlled variable using triangular equally overlapped membership functions (MF's). The proposed self-tuning technique is applied to PI- type FLC to conduct real time implementation of speed control for SRM. The proposed scheme shows a remarkably improved performance over its conventional PI type FLC. A prototype based on a 6/4 pole SRM drive has been constructed and used to practically verify the features of the proposed control strategy. The complete speed control algorithm of the SRM drive incorporating the STPIFLC is experimentally implemented and validated using a high-speed digital signal processor board TMS320F2812. It is shown that the presented STPIFLC for SRM drive is with fast tracking capability, less steady state error, robust to load disturbance and very less torque ripple.