2003Control theory & applicationsRequires access

Research of nonlinear control for maglev train

Xiaobing Zhou

Open publisher page 7 citations

Abstract

The model of maglev train suspension system is established. For the nonlinearization of the model, feedback linearization techniques are applied. A simple P-controller and a nonlinear compensator are designed after the input-status linearization of the system is achieved. The simulation result is derived, based on which, a digital experiment is performed. A comparison is made between the simulation results and experiment results, the latter of which shows the feedback linearization techniques can resolve the control problem of maglev train's nonlinear model.

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What this paper is about

The model of maglev train suspension system is established. For the nonlinearization of the model, feedback linearization techniques are applied. A simple P-controller and a nonlinear compensator are designed after the input-status linearization of the system is achieved. The simulation result is derived, based on which, a digital experiment is performed. A comparison is made between the simulation results and experiment results, the latter of which shows the feedback linearization techniques can resolve the control problem of maglev train's nonlinear model.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The model of maglev train suspension system is established. For the nonlinearization of the model, feedback linearization techniques are applied. A simple P-controller and a nonlinear compensator are designed after the input-status linearization of the system is achieved. The simulation result is derived, based on which, a digital experiment is performed. A comparison is made between the simulation results and experiment results, the latter of which shows the feedback linearization techniques can resolve the control problem of maglev train's nonlinear model.

Key concepts: Maglev, Control theory (sociology), Feedback linearization, Nonlinear system, Linearization, Controller (irrigation), Suspension (topology), Control engineering

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