Design of an Optimal Fuzzy Controller of an Under-Actuated Manipulator Based on Teaching-Learning-Based Optimization

Author:

Mahmoodabadi Mohammad Javad1,Yazdizadeh Baghini Amineh1

Affiliation:

1. Department of Mechanical Engineering , Sirjan University of Technology , Sirjan, P.O. Box: 78185-439 , Iran

Abstract

Abstract In this paper, an optimal fuzzy controller based on the Teaching-Learning-Based Optimization (TLBO) algorithm has been presented for the stabilization of a two-link planar horizontal under-actuated manipulator with two revolute (2R) joints. For the considered fuzzy control method, a singleton fuzzifier, a centre average defuzzifier and a product inference engine have been used. The TLBO algorithm has been implemented for searching the optimum parameters of the fuzzy controller with consideration of time integral of the absolute error of the state variables as the objective function. The proposed control method has been utilized for the 2R under-actuated manipulator with the second passive joint wherein the model moves in the horizontal plane and friction forces have been considered. Simulation results of the offered control method have been illustrated for the stabilization of the considered robot system. Moreover, for different initial conditions, the effectiveness and the robustness of the mentioned strategy have been challenged.

Publisher

Walter de Gruyter GmbH

Subject

Mechanical Engineering,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Air Conditioning System Simulation Automatic Optimization Platform Based on Fuzzy Control Algorithm;2022 International Conference on Artificial Intelligence of Things and Crowdsensing (AIoTCs);2022-10

2. Optimization of Sorting Robot Control System Based on Deep Learning and Machine Vision;Mathematical Problems in Engineering;2022-03-28

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