Sliding Mode Control of Rigid Flexible Hybrid Structure Manipulator with Compound Disturbance and Measurement Noise Using VGESO

Han Zheng, Liang Shan, Yangyang Cheng, Jianhu Yan, Ronghao Wang
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Abstract

A controller design based on singular perturbation theory is studied in this paper to investigate the trajectory tracking and vibration suppression of a rigid flexible hybrid manipulator. Applying the singular perturbation theory, the dynamic model of the manipulator is decomposed into a slow subsystem and a fast subsystem using different time scales. For the slow subsystem with compound disturbance and measurement noise, a novel variable gain extended state observer (VGESO) is proposed, which can alleviate the sensitivity to high-frequency noise while ensuring the desired estimation performance. A sliding mode controller based on VGESO is designed to act as a trajectory tracking controller. The boundedness of the estimation error of VGESO is demonstrated using the Lyapunov approach. For the fast subsystem, the LQR controller is employed to suppress the vibration of flexible links. Numerical simulation verifies the effectiveness of the control method proposed in this paper.
具有复合扰动和测量噪声的刚柔混合结构机械臂滑模控制
针对刚柔混合机械臂的轨迹跟踪和振动抑制问题,研究了基于奇异摄动理论的控制器设计。应用奇异摄动理论,在不同时间尺度下将机械臂动力学模型分解为慢速子系统和快速子系统。针对具有复合干扰和测量噪声的慢速子系统,提出了一种新的变增益扩展状态观测器(VGESO),在保证估计性能的同时降低了对高频噪声的敏感性。设计了一种基于VGESO的滑模控制器作为轨迹跟踪控制器。利用李雅普诺夫方法证明了VGESO估计误差的有界性。对于快速子系统,采用LQR控制器来抑制柔性连杆的振动。数值仿真验证了所提控制方法的有效性。
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