A Self-coordination Multimode Control System Based on on-line Genetic Optimization

A Self-coordination Multimode Control System Based on on-line Genetic Optimization

In order to satisfy the requirements of higher accuracy and faster response of complex system, a control strategy with self-coordination multimode based on P control, fuzzy control, PI control and online genetic optimization is presented in this paper. The results of simulations show that this metho...

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Bibliographische Detailangaben
Hauptverfasser: Qingwu Fan, Pu Wang, Huiqing Zhang, Junqian Liu
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Acceleration
Automatic control
Control systems
Fuzzy control
Fuzzy sets
Fuzzy systems
Genetic algorithms
Pi control
Robust control
Sliding mode control
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Beschreibung
Zusammenfassung:In order to satisfy the requirements of higher accuracy and faster response of complex system, a control strategy with self-coordination multimode based on P control, fuzzy control, PI control and online genetic optimization is presented in this paper. The results of simulations show that this method improves not only the disturbance resistance, shortens the transition time, accelerates the dynamic response, but also has good anti-interference and disturbance. So this method has better use value
ISSN:2164-7143
2164-7151
DOI:10.1109/ISDA.2006.6