Direct adaptive fuzzy control of flexible-joint robots including actuator dynamics using particle swarm optimization

Journal of Artificial Intelligence and Data Mining

S. Izadpanah¹  M. Moradizirkohi¹ 

[1] Department of Electrical Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran.;

关键词: Fuzzy System;    Particle Swarm Optimization;    flexible-joints robot;    Actuator Dynamics;   

DOI  :  10.22044/jadm.2016.739

来源: DOAJ

【 摘 要 】

In this paper a novel direct adaptive fuzzy system is proposed to control flexible-joints robot including actuator dynamics. The design includes two interior loops: the inner loop controls the motor position using proposed approach while the outer loop controls the joint angle of the robot using a PID control law. One novelty of this paper is the use of a PSO algorithm for optimizing the control design parameters to achieve a desired performance. It is worthy of note that to form control law by considering practical considerations just the available feedbacks are used. It is beneficial for industrial applications wherethe real-time computation is costly. The proposed control approach has a fast response with a good tracking performance under the well-behaved control efforts. The stability is guaranteed in the presence of both structured and unstructured uncertainties. As a result, all system states are remained bounded. Simulation results on a two-link flexible-joint robot show the efficiency of the proposed scheme.

【 授权许可】

Unknown