Equivalent Input Disturbance Based Robust Control For Robot Manipulator Using Generalised Extended State Observer

S. Rajgade, P. Shendge
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Abstract

This paper presents, Equivalent Input Disturbance (EID) based robust control for Robot Manipulator (RM) under uncertain conditions. Robust control is achieved by designing the Generalised Extended State Observer (GESO). Modern control designs typically requires a complete state vector for their implementations as well as estimation of uncertain states. However above mentioned requirement are difficult to meet in a real life system. To fulfil aforementioned requirements a GESO is developed that simultaneously estimates the state vector and the uncertainty. To begin the nonlinear dynamics of a robot manipulator are modelled using a linear formulation that includes uncertainty and disturbances. Then for disturbance rejection an EID + GESO based control is presented. Uncertainty and disturbances are addressed as a single lump disturbance called EID which is effectively attenuated using GESO and state feedback. The approach closed loop stability is also proven. The method is then deployed to a robot manipulator and its usefulness is demonstrated using numerical simulations under significant uncertainty and disturbances to illustrate the efficacy and robustness of the suggested design.
基于广义扩展状态观测器的机器人等效输入扰动鲁棒控制
提出了不确定条件下基于等效输入干扰(EID)的机械臂鲁棒控制方法。通过设计广义扩展状态观测器(GESO)实现鲁棒控制。现代控制设计通常需要一个完整的状态向量来实现,以及对不确定状态的估计。然而,上述要求在实际系统中很难满足。为了满足上述要求,开发了一种同时估计状态向量和不确定性的GESO。首先,利用包含不确定性和干扰的线性公式对机器人机械臂的非线性动力学进行建模。然后提出了一种基于EID + GESO的抗干扰控制方法。不确定性和干扰被处理为一个单一的块扰动,称为EID,使用GESO和状态反馈有效地衰减。并证明了该方法的闭环稳定性。然后将该方法部署到机器人操纵臂中,并通过在显著不确定性和干扰下的数值模拟来证明其有效性,以说明所建议设计的有效性和鲁棒性。
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