An Improved Sliding Mode Control via Discrete Time Optimal Control and its Application to Magnetic Suspension System

This paper presents the two-dimensional fuzzy sliding mode control of a field-sensed magnetic suspension system. The fuzzy rules include both the sliding manifold and its derivative. The fuzzy sliding mode control has advantages of the sliding mode control and the fuzzy control rules are minimized. Magnetic suspension systems are nonlinear and inherently unstable systems. The two-dimensional fuzzy sliding mode control can stabilize the nonlinear systems globally and attenuate chatter effectively. It is adequate to be applied to magnetic suspension systems. New design circuits of magnetic suspension systems are proposed in this paper. ARM Cortex-M3 microcontroller is utilized as a digital controller. The implemented driver, sensor, and control circuits are simpler, more inexpensive, and effective. This apparatus is satisfactory for engineering education. In the hands-on experiments, the proposed control scheme markedly improves performances of the field-sensed magnetic suspension system.

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Adaptive Integral-Type Sliding Mode Control for Magnetic Levitation Linear Guide Suspension Altitude

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.139-141.867 ◽

2010 ◽

Vol 139-141 ◽

pp. 867-871

Author(s):

Jing Feng Mao ◽

Guo Qing Wu ◽

Ai Hua Wu ◽

Yang Cao

Keyword(s):

Sliding Mode Control ◽

Magnetic Levitation ◽

Sliding Mode ◽

Suspension System ◽

Magnetic Suspension ◽

Nonlinearity Parameter ◽

Integral Type ◽

Linear Guide ◽

Mode Control ◽

Magnetic Suspension System

This paper investigates the constant position suspension altitude control problem for a novel magnetic levitation linear guide. The magnetic levitation linear guide is comprised of a magnetic suspension processing platform and a linear motor direct-drive system. The magnetic suspension system has several characteristics of complicated nonlinearity, parameter perturbation and strong disturbance. In view of these characteristics, an adaptive integral-type sliding mode control (AISMC) technique is used to design magnetic suspension system constant position suspension altitude controller. The AISMC can alleviate chattering and reduce steady error by estimating the boundary of uncertain perturbation. The adaptive tuning algorithm is derived in the sense of the Lyapunov stability theorem, thus the stability of the system can be guaranteed. Simulation results indicate that the proposed AISMC has a better stability, transient and robustness compared with PID control.

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A comparative study of sliding mode control and time-optimal control

10.2514/6.1998-4473 ◽

1998 ◽

Cited By ~ 4

Author(s):

Jongrae Kim ◽

John Crassidis

Keyword(s):

Optimal Control ◽

Sliding Mode Control ◽

Comparative Study ◽

Sliding Mode ◽

Time Optimal Control ◽

Mode Control ◽

Time Optimal

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Sliding Mode Control for Active Suspension System with Data Acquisition Delay

Mathematical Problems in Engineering ◽

10.1155/2014/529293 ◽

2014 ◽

Vol 2014 ◽

pp. 1-13 ◽

Cited By ~ 10

Author(s):

Uiliam Nelson L. T. Alves ◽

José Paulo F. Garcia ◽

Marcelo C. M. Teixeira ◽

Saulo C. Garcia ◽

Fernando B. Rodrigues

Keyword(s):

Sliding Mode Control ◽

Discrete Time ◽

Control Strategy ◽

Continuous Time ◽

Sliding Mode ◽

Experimental Tests ◽

Active Suspension ◽

Suspension System ◽

Control Technique ◽

Mode Control

This paper addresses the problem of control of an active suspension system accomplished using a computer. Delay in the states due to the acquisition and transmission of data from sensors to the controller is taken into account. The proposed control strategy uses state predictors along with sliding mode control technique. Two approaches are made: a continuous-time and a discrete-time control. The proposed designs, continuous-time and discrete-time, are applied to the active suspension module simulator from Quanser. Results from computer simulations and experimental tests are analyzed to show the effectiveness of the proposed control strategy.

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