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Time-varying Sliding Mode Control for Discrete-time Nonlinear Uncertain Coupled Systems via Sliding Mode Prediction

机译:通过滑动模式预测对离散时间非线性不确定耦合系统的时变滑模控制

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In this paper, a novel time-varying sliding mode control (SMC) algorithm based on sliding mode prediction for a class of discrete-time nonlinear uncertain coupled systems is presented. After giving a kind of time-varying sliding mode function, a sliding mode prediction model is used to predict the future information of sliding mode. By employing feedback correction and receding horizon optimization approaches which are extensively applied in predictive control strategy, the desired discrete-time variable structure control law is obtained. Under the influence of uncertainties whose boundaries are unknown, the closed-loop systems are proofed to be robustly stable. Numerical simulation results illustrate that compared with conventional SMC method, under the algorithm proposed in this paper, chattering is eliminated, the control signals have smaller peak values, and the closed-loop system possesses stronger robustness.
机译:本文介绍了一种基于用于一类离散时间非线性不确定耦合系统的滑模预测的新型时变滑模控制(SMC)算法。在提供一种时变的滑模功能之后,使用滑动模式预测模型来预测滑动模式的未来信息。通过采用广泛应用于预测控制策略的反馈校正和后退地平线优化方法,获得了所需的离散时间可变结构控制定律。在边界未知的不确定性的影响下,闭环系统被证明是强大的稳定性的。数值模拟结果说明,与传统SMC方法相比,在本文提出的算法下,消除了抖动,控制信号具有较小的峰值,闭环系统具有更强的鲁棒性。

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