滑模控制中自适应开关增益的新算法:第二部分-实例

Jiang Zhu, K. Khayati
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引用次数: 4

摘要

基于本文第一部分讨论的具有不确定性的非线性系统的理想自适应滑模控制(ASMC)设计的新结果,我们在本文(第二部分)中使用边界层方法和滑动变量的滤波速率将新设计扩展到实际情况。提出这些修改是为了提高精度,而不会高估不确定性大小,并抑制在实际测量信号中经常放大的抖振现象。实际上,新的自适应律的设计方式是为开关增益分配最小允许值。利用李雅普诺夫稳定性判据结合对控制行为的直观分析证明了系统的鲁棒性。仿真结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New algorithms of adaptive switching gain for sliding mode control: Part II - Real case
Based on new results on ideal adaptive sliding mode control (ASMC) design for nonlinear systems with uncertainties discussed in Part I of the present contribution, we extend the new designs to the real case in this paper (Part II) by using boundary layer method and filtered rate of the sliding variable. These modifications are proposed to enhance accuracy without overestimation of the uncertainty magnitude and to suppress the chattering phenomenon, often magnified within real measured signals. In fact, the new adaptation laws are designed in ways to assign a minimum admissible value to the switching gain. The robustness is proven using the Lyapunov stability criterion combined with an intuitive analysis of the control behavior. Simulation results are performed to demonstrate the effectiveness of the proposed algorithm.
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