Prescribed Performance Control Based on PSO Identification and Disturbance Observer for Automotive Electronic Throttle System with Actuator Constraint

Abstract

To further improve the transient and static performance of the practical automotiveelectric throttle control system against nonlinearity and uncertainty, a prescribedperformance-based servo control strategy is investigated in this paper for the electricthrottle system with actuator constraint. For handling the uncertain system parameters,particle swarm optimization (PSO) is adopted to identify the nominal physical parametersand disturbance observer technique is utilized to estimate the parameter perturbations andload torque. Moreover, for the practicability of prescribed performance control, the actuator constraintis considered in the controller design. Theoretical analysis is given to prove the trackingperformance with the required transient and steady states of the resulting closed-loop system. Meanwhile, the effectiveness and applicability of the proposed control strategy are shown byboth Matlab/Simulink simulation and dSPACE-based hardware-in-the-loop experimental verification.