An Optimized and Improved STF-PID Speed Control of Throttle Controlled HEV

Abstract

An improved self-tuning fuzzy proportional–integral–derivative (ISTF-PID), fuzzy logic-based PID (FPID) and optimal PID controllers for speed control of nonlinear hybrid electric vehicle (HEV) are proposed in this paper. The performances of HEV with ISTF-PID, FPID and optimal PID controllers are compared with the performance of HEV with existing self-tuning fuzzy PID and conventional PID controllers. The gains of PID, FPID and ISTF-PID controllers are tuned using multiobjective genetic algorithm. The performance specifications such as integral of the absolute error, integral of the square of error, peak overshoot, rise time and settling time are considered as objective function of GA and for performance analysis of HEV with designed controllers. The proposed control techniques are designed to achieve the variable speed, fuel economy, reduced pollution and improved efficiency under uncertain environment.