Model-based fuzzy control application to a self-balancing two-wheeled inverted pendulum

Wen-June Wang, Cheng-Hao Huang
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引用次数: 4

Abstract

This paper presents a fuzzy parallel distributed compensation (PDC) control design for balancing a two-wheeled inverted pendulum (TWIP). A Takagi-Sugeno (T-S) fuzzy model can be firstly constructed from the nonlinear system model of the TWIP. Based on the T-S fuzzy model, a PDC controller is designed with the aid of linear matrix inequality (LMI) concept. The stability of the fuzzy balance control can be guaranteed by solving the inequalities of LMI. Finally, one simulation and its equivalent experiment are given to demonstrate the effectiveness and feasibility of the control scheme.
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基于模型的模糊控制在自平衡两轮倒立摆中的应用
提出了一种用于平衡两轮倒立摆的模糊并联分布式补偿控制设计。首先从TWIP的非线性系统模型出发,建立了Takagi-Sugeno (T-S)模糊模型。在T-S模糊模型的基础上,利用线性矩阵不等式(LMI)的概念设计了PDC控制器。通过求解LMI不等式,可以保证模糊平衡控制的稳定性。最后通过仿真和等效实验验证了该控制方案的有效性和可行性。
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