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具有信号量化和执行器非线性的连续时间切换系统的滑模控制

Sliding mode control of continuous-time switched systems with signal quantization and actuator nonlinearity.

作者信息

Cheng Yiming, Liu Tianhe, Weng Rui, Cai Bo, Wang Changhong

机构信息

School of Astronautics, Harbin Institute of Technology, Harbin, China.

出版信息

Sci Prog. 2020 Jan-Mar;103(1):36850420912150. doi: 10.1177/0036850420912150.

DOI:10.1177/0036850420912150
PMID:32188371
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10358615/
Abstract

This article investigates sliding mode control for a class of continuous-time switched systems with signal quantization, actuator nonlinearity and persistent dwell-time switching that can guarantee the globally uniformly asymptotical stability of the closed-loop system. First, a sliding surface is devised for the switched system and sufficient conditions are proposed to ensure the globally uniformly asymptotical stability of the sliding motion equation by utilizing multiple Lyapunov function technique. Second, the sliding mode control laws, based on the parameters of quantizer, actuator nonlinearity and disturbance, are devised to stabilize the closed-loop systems. Moreover, sufficient conditions are given to guarantee the devised sliding surface's reachability. Finally, the superiority and effectiveness of developed results is illustrated via a numerical simulation.

摘要

本文研究了一类具有信号量化、执行器非线性和持续驻留时间切换的连续时间切换系统的滑模控制,该控制可保证闭环系统的全局一致渐近稳定性。首先,为切换系统设计了一个滑动面,并利用多重李雅普诺夫函数技术提出了充分条件,以确保滑动运动方程的全局一致渐近稳定性。其次,基于量化器、执行器非线性和干扰的参数设计了滑模控制律,以使闭环系统稳定。此外,还给出了保证所设计滑动面可达性的充分条件。最后,通过数值仿真说明了所得到结果的优越性和有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/fc2c57df513c/10.1177_0036850420912150-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/5118494a79c8/10.1177_0036850420912150-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/58dbf6201144/10.1177_0036850420912150-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/7786552407d0/10.1177_0036850420912150-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/e32b785e022d/10.1177_0036850420912150-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/b12afff128be/10.1177_0036850420912150-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/f26961f7082c/10.1177_0036850420912150-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/8913d3ccb2fb/10.1177_0036850420912150-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/0f839585cdbd/10.1177_0036850420912150-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/fc2c57df513c/10.1177_0036850420912150-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/5118494a79c8/10.1177_0036850420912150-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/58dbf6201144/10.1177_0036850420912150-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/7786552407d0/10.1177_0036850420912150-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/e32b785e022d/10.1177_0036850420912150-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/b12afff128be/10.1177_0036850420912150-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/f26961f7082c/10.1177_0036850420912150-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/8913d3ccb2fb/10.1177_0036850420912150-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/0f839585cdbd/10.1177_0036850420912150-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8bd/10358615/fc2c57df513c/10.1177_0036850420912150-fig9.jpg

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本文引用的文献

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H sliding mode control of discrete switched systems with time-varying delays.具有时变延迟的离散切换系统的H滑模控制。
ISA Trans. 2019 Jun;89:12-19. doi: 10.1016/j.isatra.2018.12.018. Epub 2018 Dec 18.
2
Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems.基于神经网络的一类严格反馈切换非线性系统自适应有限时间容错控制
IEEE Trans Cybern. 2019 Jul;49(7):2536-2545. doi: 10.1109/TCYB.2018.2828308. Epub 2018 May 4.
3
Integral Sliding Mode Fault-Tolerant Control for Uncertain Linear Systems Over Networks With Signals Quantization.
网络信号量化下不确定线性系统的积分滑模容错控制
IEEE Trans Neural Netw Learn Syst. 2017 Sep;28(9):2088-2100. doi: 10.1109/TNNLS.2016.2574905. Epub 2016 Jun 13.