Robust Continuous Sliding Mode Controller for Uncertain Canonical Brunovsky Systems Using Reduced Order Extended State Observer

Kamal Rsetam, M. Al-Rawi, Z. Cao
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Abstract

A reduced-order extended state observer (RESO) based a continuous sliding mode control (SMC) is proposed in this paper for the tracking problem of high order Brunovsky systems with the existence of external perturbations and system uncertainties. For this purpose, a composite control is constituted by two consecutive steps. First, the reduced-order ESO (RESO) technique is designed to estimate unknown system states and total disturbance without estimating an available state. Second, the continuous SMC law is designed based on the estimations supplied by the RESO estimator in order to govern the nominal system part. More importantly, the robustness performance is well achieved by compensating not only the lumped disturbance, but also its estimation error. Finally, the tracking performance is examined by carrying out several simulations on robotic systems with compliant actuators as an application example of the high order systems. In addition, the comparative study is conducted between the proposed SMC method with RESO and a feedback linearization control (FLC) with a full-order ESO to confirm the estimation and tracking performance of the proposed scheme.
基于降阶扩展状态观测器的不确定正则Brunovsky系统鲁棒连续滑模控制器
针对存在外部扰动和系统不确定性的高阶布鲁诺夫斯基系统的跟踪问题,提出了一种基于降阶扩展状态观测器的连续滑模控制方法。为此,复合控件由两个连续的步骤组成。首先,设计了降阶ESO (RESO)技术,在不估计可用状态的情况下估计未知系统状态和总扰动。其次,基于RESO估计器提供的估计,设计了连续SMC律,以控制标称系统部分。更重要的是,该方法不仅补偿了集总扰动,而且补偿了集总扰动的估计误差,从而获得了较好的鲁棒性。最后,以高阶系统为例,对柔性作动器机器人系统的跟踪性能进行了仿真研究。此外,将所提出的带RESO的SMC方法与带全阶ESO的反馈线性化控制(FLC)进行了比较研究,以验证所提出方案的估计和跟踪性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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