一种弱模型依赖的高速磁悬浮列车抗扰动主动控制方法。

Yang Yang, Huang Cuicui, Dai Chunhui, Long Zhiqiang
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引用次数: 0

摘要

随着高速磁悬浮列车运行速度的提高,外部干扰将进一步加剧,导致电磁悬浮系统的稳定性和动态性能下降。提高EML系统的抗扰能力是保证列车安全稳定运行的关键。针对这一挑战,本文提出了一种弱模型依赖的自抗扰控制方法,该方法将模型参考自适应控制(MRAC)和自抗扰控制(ADRC)相结合。首先,利用MRAC逼近参考模型,避免了模型不确定性带来的问题。然后,基于标称模型参数构造线性扩展状态观测器(LESO)来估计和补偿扰动。此外,引入跟踪微分器(TD)提取系统状态以构建MRAC律。利用李雅普诺夫稳定性理论证明了EML系统在所提出的控制律下能够实现稳定。最后,设计了仿真实验和物理验证实验。实验结果表明,该控制方法的抗扰性优于PID、SMC和自抗扰性,且控制性能对模型参数和平衡点的变化不敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An active resisting disturbance control method for high-speed maglev train with weak model dependence.

With the speed of high-speed maglev increasing, external disturbances will be further aggravated, leading to a deterioration in the stability and dynamic performance of the electromagnetic levitation (EML) system. Improving the disturbance rejection capability of EML systems is crucial for ensuring safe and stable train operation. To address this challenge, this paper proposes an active resisting disturbance control method with weak model dependence, combining model reference adaptive control (MRAC) and active disturbance rejection control (ADRC). First, MRAC is used to approximate the plant to the reference model to avoid problems caused by model uncertainty. Then, a linear extended state observer (LESO) is constructed based on nominal model parameters to estimate and compensate for disturbances. Additionally, a tracking differentiator (TD) is incorporated to extract system states for constructing the MRAC law. The Lyapunov stability theory is used to prove that the EML system can achieve stability under the proposed control law. Finally, the simulation experiment and physical verification experiment are designed. The experimental results show that the proposed control method outperforms PID, SMC, and ADRC in disturbance rejection and its control performance is insensitive to the changes in model parameters and equilibrium point.

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