Evolutionary computing approaches to optimum design of fuzzy logic controller for a flexible robot system

• Autorzy: Subudhi B. , Ranasingh S.
• Języki publikacji: EN

Abstrakty

EN

This paper presents the design of a Fuzzy Logic Controller (FLC) whose parameters are optimized by using Genetic Algorithm (GA) and Bacteria Foraging Optimization (BFO) for tip position control of a single link flexible manipulator. The proposed FLC is designed by minimizing the fitness function, which is defined as a function of tip position error, through GA and BFO optimization algorithms achieving perfect tip position tracking of the single link flexible manipulator. Then the tip position responses obtained by using both the above controllers are compared to suggest the best controller for the tip position tracking.

Słowa kluczowe

EN

flexible manipulator; fuzzy logic; genetic algorithm; bacteria foraging optimization; tip position tracking

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2013
• Tom: Vol. 23, no. 4
• Strony: 395--412
• Opis fizyczny: Bibliogr. 9 poz., rys., tab., wzory

Twórcy

autor

Subudhi B.

• Department of Electrical Engineering, National Institute of Technology, Rourkela- 769008, India

autor

Ranasingh S.

• Department of Electrical Engineering, National Institute of Technology, Rourkela- 769008, India

Bibliografia

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