Research of nonlinear control for maglev train
Xiaobing Zhou
Abstract
Xiaobing Zhou
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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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