基于扰动观测器的不确定离散非线性系统滑模控制

Shuyi Shao, Mou Chen, Xiaohui Yan, Qi-jun Zhao
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引用次数: 0

摘要

针对一类具有有界时变扰动的不确定离散非线性系统,设计了一种离散滑模控制器。利用神经网络解决了系统的不确定性问题。基于设计的基于神经网络的离散时间扰动观测器(DTDO)处理时变扰动。利用神经网络和DTDO,提出了一种DTSM控制方法,并证明了在设计的DTSM控制器下,整个闭环系统的所有信号都是有界的。最后,以小车倒立摆系统为例说明了所提控制技术的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sliding Mode Control of Uncertain Discrete-Time Nonlinear Systems Based on Disturbance Observer
This paper designs a discrete-time sliding mode (DTSM) controller for a class of uncertain discrete-time nonlinear systems (DTNSs) subject to bounded time-varying disturbances. By making use of the neural network (NN), the problem of system uncertainties is tackled. The time-varying disturbances are processed based on a designed NN-based discrete-time disturbance observer (DTDO). By taking advantage of the NN and DTDO, a DTSM control approach is developed, and all signals are proven to be bounded for the entire closed-loop system under the designed DTSM controller. Finally, a cart-inverted pendulum system is employed to statement the availability of the proposed control technology.
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