Robust super-twisting sliding mode control of input-delayed nonlinear systems using disturbance observers and predictor feedback

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Ali Javadi, Ronnapee Chaichaowarat
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引用次数: 0

Abstract

This paper investigates prediction-based robust super-twisting sliding mode controller design for nonlinear systems with input delay and external disturbances. A novel predictor feedback is introduced based on state predictions of the original and transformed models. To cope with the external disturbances, a set of disturbance observers are utilized which estimate the future values of disturbances asymptotically. Super-twisting sliding mode control is used to avoid chattering phenomenon which is also able to handle external disturbances. Proposed design can handle all external disturbances that their derivatives vanish at infinity. Stability proof of the closed-loop is given in details ensuring the asymptotic stability of the tracking errors and finite time vanishing of the sliding surface. To illustrate effectiveness and applicability, the proposed design is applied to a two-link robot and a serial variable stiffness actuator. Simulation results show that input delays of the robot and actuator are compensated, and external disturbances are correctly estimated and attenuated.

基于扰动观测器和预测器反馈的输入延迟非线性系统鲁棒超扭滑模控制
研究了具有输入延迟和外部干扰的非线性系统的基于预测的鲁棒超扭滑模控制器设计。在原模型和变换模型状态预测的基础上,引入了一种新的预测反馈。为了应对外部扰动,利用扰动观测器对扰动的未来值进行渐近估计。采用超扭滑模控制,既避免了抖振现象,又能处理外界干扰。所提出的设计可以处理所有导数在无穷远处消失的外部干扰。详细地给出了闭环的稳定性证明,保证了跟踪误差的渐近稳定性和滑动面的有限时间消失。为了说明该设计的有效性和适用性,将该设计应用于一个双连杆机器人和一个串联变刚度执行器。仿真结果表明,该方法补偿了机器人和执行器的输入时延,正确估计和衰减了外部干扰。
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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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