Fuzzy-PI Controller Tuned with HBBO for 2 DOF Robot Trajectory Control

Achouri Mourad, Y. Zennir
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引用次数: 6

Abstract

The main aim of our study is to control a 2 DOF robot manipulator with Fuzzy-PI and adjust its parameters with human behavior-based optimization. The fuzzy system that we have introduced is based on Takagi–Sugeno-type: it adequately handles uncertainties, ambiguities and it is able to tune the PID parameters in non-linearity situations. The HBBO was dedicated to find the best scaling factor of fuzzy logic as well as the PI’s parameter. The results of our study show the effectiveness of the proposed algorithm to optimize the controller’s parameter; therefore, the dynamics of robot follows perfectly a desired trajectories.
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基于HBBO的模糊pi控制器用于二自由度机器人轨迹控制
本文研究的主要目的是利用Fuzzy-PI控制二自由度机器人机械手,并利用基于人类行为的优化方法对其参数进行调整。我们所介绍的模糊系统是基于takagi - sugeno型的:它充分处理了不确定性、模糊性,并且能够在非线性情况下调整PID参数。HBBO致力于寻找模糊逻辑的最佳比例因子以及PI的参数。研究结果表明,所提算法对控制器参数的优化是有效的;因此,机器人的动力学完全遵循期望的轨迹。
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