Improved sliding mode magnetic levitation control algorithm based on LESO

DOI:	10.11809/bqzbgcxb2023.11.033
Keywords:	maglev control; sliding mode variable structure control; linear expansion state observe
Abstract:	As the magnetic levitation system has nonlinearity, time delay, strong disturbance characteristics, an improved sliding mode control method based on linear expansion state observer is proposed in this paper. Firstly, the mathematical model of the electromagnetic levitation system was established, and the mathematical model was linearized by analyzing the dynamic characteristics of the model. Secondly, an improved sliding mode control method is used to improve the jitter problem of general sliding mode variable structure control. By introducing the boundary variable power function fal instead of the symbolic function Sign and associating the sliding mode gain and hyperplane functions, the instabilities caused by system jitterare suppressed. At last, the LESO observer is introduced to compensate the total disturbance of the system to the sliding mode controller, which could reduce the dependence of the sliding mode controller on the model and further improve the anti interference and robustness of the system. Simulation results show that, compared to traditional algorithms, improved sliding mode control based on LESO provides faster response times, reduces overshoot, greatly enhances the anti interference and robustness performance of the system. It has theoretical guiding significance for overcoming the engineering realization puzzle of medium and low speed electromagnetic levitation trains running under different working conditions and complex environments.
Issue:	Vol. 44 No. 11 (2023)
Published:	2023-11-28
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