Adaptive Control of Electromagnetic Levitation System Considering Input Unidirectionality and Parameter Uncertainty
编号:96 访问权限:仅限参会人 更新:2023-11-20 13:45:42 浏览:493次 口头报告

报告开始:2023年12月09日 16:30(Asia/Shanghai)

报告时间:15min

所在会场:[S5] Traction power supply technology and application [S5] Traction power supply technology and application

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摘要
The electromagnetic levitation system (ELS) of Maglev train is a strongly nonlinear, open-loop unstable system, which controls the air gap by controlling the magnitude of electromagnetic suction force through the current. ELS are suffering from many factors, such as input unidirectional constraints, maximum limited current, and external perturbations, during work. These factors pose significant challenges to the airgap stability control of the ELS system. In this paper, a continuous adaptive robust control method is proposed to address these problems simultaneously. The unidirectional constraint on the control current is handled by a series of transformation operations on the nonlinear dynamical equations, and the perturbation set sum term and unmatched term are introduced. The control law is divided into two parts, one is an update law for online estimation of unknown parameters, and the other is used to compensate for parameter uncertainties and resist external disturbances. The asymptotic stability of the closed-loop system at the equilibrium point is proved based on Lyapunov theory without linearized approximation of the original nonlinear model. Three sets of experiments are also carried out on an experimental platform, and the results demonstrate that the proposed method can track the air gap quickly and accurately, and is robust to parameter uncertainties and external disturbances.
关键词
Electromagnetic levitation system,Unidirectional input constraints,Parameter uncertainty,Adaptive control,Lyapunov techniques
报告人
Fengxing Li
None Tongji University

稿件作者
Fengxing Li Tongji University
Yougang Sun Tongji University
Zhao Xu Tongji University
Fuchuan Duan Tongji University
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重要日期
  • 会议日期

    12月08日

    2023

    12月10日

    2023

  • 11月01日 2023

    初稿截稿日期

  • 12月10日 2023

    注册截止日期

主办单位
IEEE IAS
承办单位
Southwest Jiaotong University (SWJTU)
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