H∞ Control and Sliding Mode Control of Magnetic Levitation System

Shen, Jing-Chung

doi:10.1111/j.1934-6093.2002.tb00361.x

Cited by 42 publications

(36 citation statements)

References 11 publications

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“…In this subsection, we will develop the new sliding mode controller [8,16,17,18]. The control problem is to find a control law so that the state x can track the desired command ref x accurately under the occurrence of the uncertainties.…”

Section: Control Of Positionmentioning

confidence: 99%

Adaptive Sliding Mode Control of PMLSM Drive

Yahiaoui¹,

Kechich²,

Bouserhane³

2017

IJPEDS

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In this paper, we propose a study by software MATLAB/Simulink of the adaptive nonlinear controller of permanent magnet linear synchronous machine.The lumped uncertainties due for saturation magnetic and temperature and distribution load effects in performances of the system control. To resolve this problem the sliding mode controller is designed with estimator of load force by MRAS method the simulation results prove clearly the robustness of controlling law and estimator method. All rights reserved. Keyword: Mathematical Corresponding Author:Maamar Yahiaoui, Department of Technology, Béchar University, Laboratory of control, Analyzes and optimization of the electro-energy Systems University of Bechar BP.417, BÉCHAR (08000), Algérie. Email: maamar2904@gmail.com INTRODUCTIONThe advantages of superior power density, high-performance motion control with fast speed, and better accuracy, are such that permanent magnet linear synchronous motors (PMLSMs) are being increasingly used as actuators in many automation control fields [1,2,4], including computer controlled machining tools, X-Y driving devices, robots, semi-conductor manufacturing equipment, transport propulsion and levitation, high-speed injection molding machines, dc solenoid, etc. However, due to load variety of the plant and the mechanical friction, the model uncertainty of PMSLM system has a great impact on the accuracy of control systems [3]. As a result, many control methodologies have been applied to the control of PMSLM system in order to eliminate the effects of uncertainty [20].It is well known that the major advantage of sliding-mode control (SMC) system is its insensitivity to parameter variations and external-force disturbance once the system trajectory reaches and stays on the sliding surface [5,7,8]. The first step of SMC design is to select a sliding surface that models the desired closed-loop performance in state-variable space. The second step is to design a hitting-control law such that the system-state trajectories are forced toward the sliding surface. The system-state trajectory in the period of time before reaching the sliding surface is called the reaching phase. Once the system trajectory reaches the sliding surface, it slides along the sliding surface to the origin and is called the sliding mode. However, the robustness of the SMC is guaranteed usually by using the strategy of a large switching-control gain. This switching strategy often leads to the chattering phenomenon which is caused by switching function in hittingcontrol law [5,6,8]. To improve the chattering phenomena, a common method is to use the saturation function to replace the switching function [8].

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Section: Control Of Positionmentioning

confidence: 99%

Adaptive Sliding Mode Control of PMLSM Drive

Yahiaoui¹,

Kechich²,

Bouserhane³

2017

IJPEDS

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“…Os parâmetros são: Este é um sistema dinâmico não-linear e não pode ser controlado técnicas de controle lineares tradicionais. Para controlar este tipo de sistema não-linear, técnicas avançadas são usadas, como H  [7], modos deslizantes [6] e estrutura variável [5]. Neste trabalho são comparadas três técnicas de controle não-lineares: PD (Proporcional-Derivativo) com sistema linearizado no ponto de equilíbrio, linearização por realimentação e SDRE (State-Dependent Riccati Equation).…”

Section: Introductionunclassified

Comparação de técnicas de controle aplicadas a um sistema de levitação magnética

Chinelato¹

2014

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics

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“…[4] provides a gain scheduled control of magnetic suspension system. Shen [5] compared the performance of the H controller, the sliding mode controller and the PID controller. All of the above controllers were implemented on a single EMS system for experimental purposes only.…”

Section: Introductionmentioning

confidence: 99%

A nonlinear control method for the electromagnetic suspension system of the maglev train

Zhou

2011

J. Mod. Transport.

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Abstract:To deal with the inherent nonlinearity and open-loop instability of the electromagnetic suspension (EMS) system, a new nonlinear control method is proposed. The simulation results show that, for a PID controller, the overshoot of the system response to an airgap step disturbance is about 3 mm, and the transient time is 6 s; however, for the proposed nonlinear controller, there is no overshoot and transient time within 2 s. The proposed method has a faster response and stronger robustness. With a designed bi-DSP suspension controller, this nonlinear control method was implemented on the Shanghai Urban Maglev Test Line (SUMTL) to validate its effectiveness and feasibility.

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H∞ Control and Sliding Mode Control of Magnetic Levitation System

Cited by 42 publications

References 11 publications

Adaptive Sliding Mode Control of PMLSM Drive

Adaptive Sliding Mode Control of PMLSM Drive

Comparação de técnicas de controle aplicadas a um sistema de levitação magnética

A nonlinear control method for the electromagnetic suspension system of the maglev train

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