Experimental Curriculum for Learning Control Theory Using a Mobile Robot

S. Yamakawa
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引用次数: 1

Abstract

Many experimental devices employing DC motors have been used to study control engineering. The model of them can be approximated as a linear system and we can control the angle or the angular velocity of a DC motor sufficiently by using classical control theory, like PID control. However, just rotating a motor does not seem to attract the attention of students in mechanical engineering classes. Thus, an experimental curriculum employing a mobile robot is proposed to learn control theory. The kinematic model of the mobile robot includes non-linearity. In this paper, two representations are used to analyze and design a controller for the nonlinear mobile robot: a linear approximated model and a linear model obtained by a strict linearization method. The responses when a PID controller is applied are analyzed based on the linear approximated model, and the limits for controlling the mobile robot using a PID controller are shown. When the nonlinear controller designed based on a strict linearization method is used, the control gains can be adjusted based on linear control theory, that is, the pole assignment method. Students can recognize the relationship between the poles and responses of the controlled system as the traveling path of a mobile robot. The proposed experiments were actually performed in some classes and attracted the attention of the students.
利用移动机器人学习控制理论的实验课程
许多采用直流电机的实验装置已被用于研究控制工程。它们的模型可以近似为线性系统,我们可以利用经典的控制理论,如PID控制,充分控制直流电机的角度或角速度。然而,在机械工程课上,仅仅旋转电机似乎并不能吸引学生的注意力。因此,我们提出了一个利用移动机器人学习控制理论的实验课程。移动机器人的运动学模型包含非线性。本文采用线性近似模型和严格线性化方法得到的线性模型两种表示形式来分析和设计非线性移动机器人的控制器。在线性逼近模型的基础上,分析了采用PID控制器控制移动机器人时的响应,指出了采用PID控制器控制移动机器人的局限性。当使用基于严格线性化方法设计的非线性控制器时,可以根据线性控制理论,即极点配置方法来调整控制增益。学生可以识别出被控系统的极点和响应之间的关系,作为移动机器人的行进路径。提出的实验在一些班级实际进行,引起了学生们的注意。
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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