Citation: | SUN Feng, DAI Xuefei, ZHAO Chuan, WANG Xin, PEI Wenzhe, JIN Junjie, XU Fangchao, ZHOU Ran. Super-Twisting Sliding Mode Control of Linear Magnetic Drive System Based on Fuzzy Variable Gain[J]. Journal of Southwest Jiaotong University, 2025, 60(4): 1003-1012. doi: 10.3969/j.issn.0258-2724.20240621 |
To enhance the position tracking accuracy of the linear magnetic drive system susceptible to uncertainties such as external perturbations and address the jitter in sliding mode control, a super-twisting sliding mode control strategy was proposed based on the fuzzy variable gain. First, the working principle of the linear magnetic drive system was introduced, and its mathematical model was established with perturbations considered. Next, a speed controller based on the super-twisting sliding mode algorithm was designed to ensure fast and accurate system convergence. The stability of the system was verified by using the Lyapunov function, and the gain of the algorithm was adaptively adjusted via a fuzzy algorithm. Finally, the proposed composite control method was validated through experiments. Results demonstrate that super-twisting sliding mode control based on the fuzzy variable gain achieves high position tracking accuracy and fast response. Compared to that of the original super-twisting sliding mode control, the step position tracking response time is reduced by 28%, and the steady state error decreases from 3 µm to 1 µm. There is no jitter. The phase difference in sinusoidal position tracking is reduced by 13%, and the tracking accuracy increases by 14%. Additionally, square wave position tracking exhibits enhanced dynamic performance. The time of the system to reach a steady state declines by 13% after perturbations are applied, and the delay time is reduced by 80% after the load is applied, significantly enhancing perturbation resistance.
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