Efficiency of particle swarm optimization applied on fuzzy logic DC motor speed control | Zendy

Boumediène Allaoua | Zendy; Abdesselam Abderrahmani | Zendy; Brahim Gasbaoui | Zendy; Abdelfatah Nasri | Zendy

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Efficiency of particle swarm optimization applied on fuzzy logic DC motor speed control

Author(s) -

Boumediène Allaoua,

Abdesselam Abderrahmani,

Brahim Gasbaoui,

Abdelfatah Nasri

Publication year - 2008

Publication title -

serbian journal of electrical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.133

H-Index - 5

eISSN - 2217-7183

pISSN - 1451-4869

DOI - 10.2298/sjee0802247a

Subject(s) - control theory (sociology) , overshoot (microwave communication) , particle swarm optimization , dc motor , fuzzy logic , electronic speed control , controller (irrigation) , computer science , fuzzy control system , control engineering , mathematics , engineering , control (management) , algorithm , artificial intelligence , electrical engineering , telecommunications , agronomy , biology

This paper presents the application of Fuzzy Logic for DC motor speed control using Particle Swarm Optimization (PSO). Firstly, the controller designed according to Fuzzy Logic rules is such that the systems are fundamentally robust. Secondly, the Fuzzy Logic controller (FLC) used earlier was optimized with PSO so as to obtain optimal adjustment of the membership functions only. Finally, the FLC is completely optimized by Swarm Intelligence Algorithms. Digital simulation results demonstrate that in comparison with the FLC the designed FLC-PSO speed controller obtains better dynamic behavior and superior performance of the DC motor, as well as perfect speed tracking with no overshoot

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