Fuzzy tuning of PID controller based on genetic algorithm.

• Autorzy: Xiong N.
• Języki publikacji: EN

Abstrakty

EN

PID controllers have found extensive industrial applications. The idea of online determination of the PID gains using fuzzy logic and reasoning was proposed with the purpose of acquiring better control performances then with using fixed PID parameters during the process. However, the detailed specification for such a fuzzy schedule is rather complicated and time consuming. Genetic algorithms are search algorithms based on natural section and have proved themselves superior to conventional optimization techniques in many cases. This paper develops a genetic-based approach to designing a fuzzy system for online schedule of PID parameters. The effectiveness of the proposed approach in learning to adjust PID parameters for improving control performances has been demonstrated through simulation tests on a fourth-order process.

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 1999
• Tom: Vol. 25, nr 3
• Strony: 65--75
• Opis fizyczny: Bibliogr. 8 poz., rys. 4, tab. 3

Twórcy

autor

Xiong N.

• Institute of Process Automation, Department of Electrical Engineering, University of Kaiserslautern, Germany