Robust track-following control of hard disk drives using improved integral sliding mode combined with phase lead peak filter

IF 3.9 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Adaptive Control and Signal Processing Pub Date : 2007-07-23 DOI:10.1002/acs.995

Qinglei Hu, Lihua Xie, Youyi Wang, Chunling Du

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引用次数: 13

Abstract

An integral-type sliding mode control (SMC) scheme with application to track-following control in hard disk drives (HDDs) is investigated in this paper. With the proposed technique, the dynamics of the sliding mode is analytically obtained without any reaching phase by using the integral sliding surface. To reconstruct estimates of the system states for use in a full information SMC law, an asymptotic observer is also employed and the fulfillment of sliding condition, including the case when estimated states are used, is also verified. In addition, the proposed control scheme integrated with a phase lead peak filter (PLPF) is also investigated for better rejection of disturbance of narrow-band type at mid-frequency ranges. Simulation studies on the design of a track-following controller in HDDs are conducted to illustrate its feasibility and effectiveness. The simulation results also demonstrate that the proposed scheme provides better performance than the conventional sliding mode and proportional–integral–derivative control methods. Copyright © 2007 John Wiley & Sons, Ltd.

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采用改进积分滑模结合相导峰滤波器的硬盘驱动器鲁棒跟踪控制

研究了一种应用于硬盘跟踪控制的积分型滑模控制方案。利用该方法，利用积分滑动面，可以在不到达相位的情况下解析得到滑模的动力学特性。为了在全信息SMC律中重构系统状态的估计，还采用了渐近观测器，并验证了滑动条件的满足，包括使用估计状态的情况。此外，为了更好地抑制中频范围内的窄带型干扰，本文还研究了集成相位导峰滤波器(PLPF)的控制方案。通过对hdd跟踪控制器设计的仿真研究，验证了该控制器的可行性和有效性。仿真结果表明，该方法比传统的滑模控制方法和比例积分导数控制方法具有更好的控制性能。版权所有©2007 John Wiley &儿子,有限公司

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来源期刊

International Journal of Adaptive Control and Signal Processing 工程技术-工程：电子与电气

CiteScore

5.30

自引率

16.10%

发文量

163

审稿时长

5 months

期刊介绍： The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material. Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include: Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers Nonlinear, Robust and Intelligent Adaptive Controllers Linear and Nonlinear Multivariable System Identification and Estimation Identification of Linear Parameter Varying, Distributed and Hybrid Systems Multiple Model Adaptive Control Adaptive Signal processing Theory and Algorithms Adaptation in Multi-Agent Systems Condition Monitoring Systems Fault Detection and Isolation Methods Fault Detection and Isolation Methods Fault-Tolerant Control (system supervision and diagnosis) Learning Systems and Adaptive Modelling Real Time Algorithms for Adaptive Signal Processing and Control Adaptive Signal Processing and Control Applications Adaptive Cloud Architectures and Networking Adaptive Mechanisms for Internet of Things Adaptive Sliding Mode Control.