PID-type fuzzy scaling factors tuning using genetic algorithm and Simulink Design Optimization for Electronic Throttle Valve

In this paper, is proposed a comparison between the Simulink Design Optimization (SDO) and Genetic Algorithm (GA), based on minimizing the Integral of the Squared Error (ISE), for tuning PID-type Fuzzy Logic Controller (FLC) scaling factors. The correspondent controller is applied to an Electronic Throttle Valve (ETV) for defined desired trajectory generated by using one of the flatness property. GA tuning shows a better and robust performance compared to SDO algorithm in terms of tracking a desired trajectory with disturbances rejection.