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Chattering-Free Adaptive Finite-Time Sliding Mode Control for Trajectory Tracking of MEMS Gyroscope

机译:MEMS陀螺轨迹跟踪的无抖动自适应有限时间滑模控制

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摘要

One of the inevitable problems with real-time control systems is the presence of the uncertainties and external disturbances. The existence of these uncertainties in the fabrication processes of the MEMS Gyroscope devices can deeply impact the performance of the devices. In this paper, five adaptive finite time robust control methods are employed based on SMC method for a Micro-Electro-Mechanical System (MEMS) Gyroscope with mismatched uncertainties and external disturbances to achieve trajectory tracking goal. A new Stepping SMC method is proposed in this study to improve some deficiencies of conventional and existing methods including Simple SMC, Classical SMC, Cubic SMC, and Hexagonal SMC. The upper bound of mismatched uncertainties is estimated in finite time and their estimation is utilized in the control inputs for all five control methods. The elimination of chattering phenomenon is considered in this paper. The system finite time stability proof is obtained using Lyapunov stability theory. The numerical simulation is performed in Simulink/MATLAB for the MEMS gyroscope system to demonstrate the effectiveness of our proposed control method, Stepping SMC, compared with four other methods. To make an extensive comparison among results, the performance criterion, Integral of the square value (ISV), is used.
机译:实时控制系统的一个不可避免的问题是存在不确定性和外部干扰。在MEMS陀螺仪装置的制造过程中存在这些不确定性的不确定性可以深入影响器件的性能。在本文中,基于微型机械系统(MEMS)陀螺的SMC方法采用了五种自适应有限时间稳健控制方法,其具有不匹配的不确定性和外部干扰,以实现轨迹跟踪目标。本研究提出了一种新的步进SMC方法,以改善常规和现有方法的一些缺陷,包括简单的SMC,经典SMC,立方SMC和六边形SMC。非匹配不确定性的上限在有限时间内估计,并且在所有五种控制方法中使用它们的估计。本文考虑了消除喋喋不休的现象。使用Lyapunov稳定性理论获得系统有限时间稳定性证据。在Simulink / Matlab中执行数值模拟,用于MEMS陀螺系统,以展示我们提出的控制方法,与另外四种方法相比的所提出的控制方法的有效性。为了在结果之间进行广泛的比较,使用绩效标准,方形值(ISV)的积分。

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