A Method of Fuzzy Algorithm in Controlling Ball and Beam through Simulation and Experiment

Thi-Thuy Hoang, Hoang-Phi-Khoi Nguyen, T. Nguyen, V. Nguyen, Diep-Thuy-Duong Le, Xuan-Chinh Trinh, Ngoc-Phu Nguyen, P. Nguyen
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引用次数: 0

Abstract

In this paper, we present a way to create fuzzy controller from LQR method by using ANFIS toolbox of Matlab. First, after proving the ability of stability of this SIMO system under LQR method in Matlab/Simulink, we create a fuzzy controller through ANFIS toolbox of Matlab. The data, which is used to train, is collected from responses of system under LQR controller. Also, we present a hardware platform of ball and beam system. Under this fuzzy controller, control quality of ball and beam is better than under LQR controller in both simulation and experiment.
通过仿真和实验,提出了模糊算法在球梁控制中的应用
本文提出了一种利用Matlab的ANFIS工具箱从LQR法创建模糊控制器的方法。首先,在Matlab/Simulink中用LQR方法证明了该SIMO系统的稳定性后,通过Matlab的ANFIS工具箱创建了模糊控制器。用于训练的数据采集自LQR控制器下系统的响应。并给出了球梁系统的硬件平台。仿真和实验结果表明,该模糊控制器对球梁的控制质量优于LQR控制器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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8 weeks
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