基于观测器的机器人鲁棒非线性容错控制

A. Al-Bayati, Hong Wang
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引用次数: 8

摘要

为了研究非线性机器人模型的特性,提出了一种新的自适应容错策略。采用两个(PID)比例积分导数控制器和一个非线性观测器设计了自适应容错控制方案。研究了小车上两个倒立机器人关节臂的非线性模型,并对系统中存在加性故障和干扰(白噪声)的情况进行了仿真。设计了非线性自适应观测器,消除了科里奥利力矩和离心力矩的影响,检测了故障和噪声。两个PID控制器对误差进行补偿,提高了策略的完整性。该策略通过重新配置控制律来克服误差和故障。通过算例进行了仿真,得到了令人鼓舞的结果。
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A robust new nonlinear fault tolerant control for robot via an observer
To study the properties of the nonlinear robot model and introduce a new adaptive fault tolerant strategy, this paper has been introduced. The adaptive fault tolerant control scheme is designed via two (PID) Proportional -Integral - derivative controllers and a nonlinear observer. The nonlinear model of two inverted robot joints arms on a cart and has been studied and simulated with presence of an additive fault and a disturbance (white noise) in the system. The nonlinear adaptive observer is designed to eliminate the effect of the Coriolis and centrifugal torque and detect the fault and noise. The two PID controllers compensate the errors to increase the integrity of the strategy. The proposed strategy reconfigures the control law to overcome the errors and faults. An illustrated example is simulated and the encouraged results have been obtained.
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