Event-Based Output Feedback Stabilization Using Sliding Mode Technique

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS
Saikat Mondal;Kiran Kumari
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Abstract

In this letter, an event-triggered output feedback sliding mode controller is designed to investigate the behavior of the perturbed linear time-invariant system (LTI). The controller is designed here based on the estimated states, which are obtained by employing the event-triggered sliding mode estimation technique. In this letter, since the event-triggering mechanism decides the instant of (system) output transmission, we show that under the application of the proposed control strategy, the sliding trajectory converges to any desired bound in a finite time. This ensures the convergence of the system trajectory to any desired bound. Moreover, it is shown that the proposed controller guarantees the boundedness of the system trajectory within some predefined bound at transients also, which is essential for different practical applications such as robotics, power systems, etc. We also attempt to reduce the magnitude of the control input by establishing the separation principle along with a switching technique for designing the discontinuous controller gain without affecting the convergence of the sliding variable to its ultimate bound. This reduction in the discontinuous controller gain decreases the control effort, leading to an increase in the inter-event time. Moreover, it also helps reduce the amplitude of chattering. Finally, a practical example is simulated to demonstrate the effectiveness of the proposed controller design.
基于事件的滑模输出反馈镇定技术
在这封信中,设计了一个事件触发的输出反馈滑模控制器来研究摄动线性时不变系统(LTI)的行为。在此基础上设计了基于估计状态的控制器,该估计状态采用事件触发滑模估计技术得到。在本文中,由于事件触发机制决定了(系统)输出传输的瞬间,我们证明了在应用所提出的控制策略下,滑动轨迹在有限时间内收敛到任意期望界。这保证了系统轨迹收敛到任何期望的界。此外,所提出的控制器还保证了系统轨迹在瞬态时的有界性,这对于机器人、电力系统等不同的实际应用是必不可少的。我们还尝试通过建立分离原理以及设计不连续控制器增益的切换技术来减小控制输入的大小,而不影响滑动变量收敛到其最终界。不连续控制器增益的减少减少了控制努力,导致事件间时间的增加。此外,它还有助于降低抖振的幅度。最后,通过实例仿真验证了所提控制器设计的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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