高速列车分布式速度协同跟踪控制方法研究

针对高速列车运行过程中受外界干扰而导致的各车厢速度不同步问题,提出了一种基于改进扰动观测器的高速列车分 布式速度协同跟踪控制一致性算法。 首先,建立高速列车分布式模型,其次,将高速列车与多智能体系统相结合,设计分布式速 度协同跟踪控制算法;同时利用改进的扰动观测器估计系统的复合未知扰动,并将其观测值反馈补偿给控制器,以消除复合未 知扰动对高速列车运行的影响;通过 Lyapunov 稳定性理论分别证明了控制器和观测器的稳定性。 最后,通过仿真对所提方法 进行验证,所提方法的速度跟踪精确度达到了 99. 9%。

Research on distributed speed coordinated tracking control for high-speed train

Aiming at the problem of carriage speed asynchronization caused by external disturbance during the operation of high-speed trains (HST), a distributed speed coordinated tracking control (DSCTC) method for HST based on an improved disturbance observer (IDO) is proposed. Firstly, a distributed HST model is established, secondly, combining HST with multi-agent system, and a DSCTC algorithm is designed; and an IDO is used to estimate the unknown disturbance of the system, and the observed value is fed back to the controller as compensation, and the Lyapunov stability analysis proves the stability of the controller and observer. Finally, the proposed method is verified by simulation, the speed tracking accuracy of the proposed method reaches 99. 9%.