Abstract

The suspension module control system model has been established based on MIMO (multiple input and multiple output) state feedback linearization. We have completed decoupling between double suspension points, and the new decoupling method has been applied to CMS04 magnetic suspension vehicle in national mid-low-speed maglev experiment field of Tangshan city in China. Double suspension system model is very accurate for investigating stability property of maglev control system. When magnetic flux signal is taken back to the suspension control system, the suspension module's antijamming capacity for resisting suspension load variety has been proved. Also, the external force interference has been enhanced. As a result, the robustness and stability properties of double-electromagnet suspension control system have been enhanced.

Highlights

  • Maglev vehicle has minor noise, no pollution safety, and comfort many other advantages, so the maglev traffic has a bright prospect in the future

  • Lin et al have studied the design of a robust discrete-time sliding mode control (DT-SMC) [2] for a highprecision electrohydraulic actuator (EHA) recently

  • Double suspension control model has been founded with magnetic flux signal based on MIMO feedback linearization

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Summary

Introduction

Maglev vehicle has minor noise, no pollution safety, and comfort many other advantages, so the maglev traffic has a bright prospect in the future. Maglev vehicle concludes several complex subsystems [1] with coupling relations. Maglev control technology is one of crucial techniques in suspension system. Maglev vehicle is a typical nonlinear system, and suspension module concludes two coupled suspension points which are connected by a rigid joint. A new approach can keep stabilization of time-varying nonlinear systems with distributed input delay by feedback of plant’s state in paper [4]. Nonlinear value control based on FDM (feedback domination method) is simple and has robustness [8] to some kinds of unknown disturbances. Roy and Asada have investigated nonlinear feedback control of a gravity assisted under actuated manipulator [10] with application to aircraft assembly. We take magnetic flux density back to maglev system for promoting the robustness and stability.

Foundation of Flux Feedback Control Suspension Model
Mathematical Model
D C f2 f2
Design of Suspension Controller
Experiments
Conclusions
Full Text
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