Abstract In order to overcome the deficiency of fuzzy control algorithm, an adaptive fuzzy logic controller is proposed. In this method, the differential evolution algorithm (DE) was employed to optimize parameters of fuzzy controller: quantitative factor and proportional factor , they were designed as individuals of DE population, and evaluated using the fitness function provided until the termination condition was fulfilled. Then the selected parameter values were sent back to fuzzy logic controller. Simulation results concerning two-tank system show that the DE optimized fuzzy controller has good adaptability, as well as it‘s effectiveness, which provides a new approach to improve fuzzy control system.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Design of Fuzzy Logic Controller Based on Differential Evolution Algorithm


    Beteiligte:
    Shuai, Li (Autor:in) / Wei, Sun (Autor:in)


    Erscheinungsdatum :

    2014-01-01


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Design of Fuzzy Logic Controller Based on Differential Evolution Algorithm

    Shuai, L. / Wei, S. | British Library Conference Proceedings | 2014


    Fuzzy logic based robotic controller

    Attia, F. / Upadhyaya, M. | AIAA | 1994


    Fuzzy logic controller based Genetic algorithm for semi-active suspension

    Zhang, Jingjun / Gao, Ruizhen / Zhao, Ziyue et al. | Tema Archiv | 2012


    Genetic Algorithm Based Parameter Optimization of a Fuzzy Logic Controller

    Lin, C.-F. / Bao, P.-A. / Braasch, S. et al. | British Library Conference Proceedings | 1999


    LQG/LTR Flight Controller Optimal Design Based on Differential Evolution Algorithm

    Zhang, Meng / Sun, Peiyong / Cao, Ruiting et al. | Tema Archiv | 2010