欠驱动摆机器人系统控制方案的比较

Minh-Duc Tran, Le-Tuan-Hung Pham, Nguyen-Quang-Dong Dang, Doan-Tuan-Minh Tran, Minh-Khoi Nguyen, Le-Anh Bui, Quoc-Khanh Nguyen, Minh-Tai Vo
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引用次数: 0

摘要

本文介绍了三种不同的知名控制技术的比较,包括线性二次调节器(简称LQR),滑模控制(简称SMC)和模糊逻辑控制(简称FLC)。每个控制器都在不同的控制类别中;LQR是一种既适用于线性系统也适用于非线性系统的最优控制器,SMC是一种通常应用于非线性系统的非线性控制器,而模糊控制器是一种可以通过用户实验或其他学习技术存档的智能控制器。除了三个主要的平衡点稳定控制器外,还设计了基于能量法的摆动控制器,使系统在初始位置接近平衡点。最后,通过仿真和实验结果验证了三种方法的性能和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparison of Control Schemes for Under-Actuated Pendubot System
This paper presents a comparison of the three distinctive well-known control techniques, including Linear Quadratic Regulator (for short, LQR), Sliding Mode Control (for short, SMC), and Fuzzy Logic Control (for short, FLC). Each controller is in a different control category; LQR is an optimal controller employed in both linear and nonlinear systems, SMC is a nonlinear controller commonly applied in a nonlinear system, and the Fuzzy controller is the intelligent controller which can be archived by user’s experiment or other learning techniques. Beside the three main controllers for stabilizing at the equilibrium point, the swing-up controller is designed based on energy-based method to bring the system at the initial position close to the equilibrium points. Finally, the performance and the validity of the three methods are verified through both simulation and experimental results.
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