Improved Self Tuning Fuzzy Proportional–Integral–Derivative Versus Fuzzy Adaptive Proportional–Integral–Derivative for Speed Control of Nonlinear Hybrid Electric Vehicles

Abstract

The objective of this paper is to identify the suitable advance controller among optimized proportional–integral–derivative (OPID), improved selftuning fuzzyPID (ISTFPID), advanced fuzzy nonadaptive PID (AFNAPID), and AFadaptive PID (AFAPID) controllers for speed control of nonlinear hybrid electric vehicle (HEV) system. The conventional PID (CPID) controller cannot tackle the nonlinear systems effectively and gives a poor tracking and disturbance rejection performance. The performances of HEV with the proposed advance controllers are compared with existing CPID, STFPID, and conventional fuzzy PID (CFPID) controllers. The proposed controllers are designed to achieve the desired vehicle speed and rejection of disturbance due to road grade with reduced pollution and fuel economy.