PID-type fuzzy scaling factors tuning using genetic algorithm and Simulink Design Optimization for Electronic Throttle Valve
| Autor: | Mohamed Benrejeb, Hajer Gharsallaoui, Wafa Gritli |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering Electronic throttle Mean squared error business.industry Flatness (systems theory) PID controller Control engineering 02 engineering and technology Fuzzy logic 020901 industrial engineering & automation Control theory Genetic algorithm 0202 electrical engineering electronic engineering information engineering Torque 020201 artificial intelligence & image processing business Scaling |
| Zdroj: | CoDIT |
| DOI: | 10.1109/codit.2016.7593563 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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