Speed Tracking Control of High-Speed Train Based on Particle Swarm Optimization and Adaptive Linear Active Disturbance Rejection Control

Abstract

This paper proposes a control scheme combining improved particle swarm optimization (IPSO) and adaptive linear active disturbance rejection control (ALADRC) to solve the high-speed train (HST) speed tracking control problem. Firstly, in order to meet the actual operation of a HST, a multi-mass point dynamic model with time-varying coefficients was established. Secondly, linear active disturbance rejection control (LADRC) was proposed to control the speed of the HST, and the anti-disturbance ability of the system was improved by estimating and compensating for the total disturbance suffered by the carriage during the operation of the HST. Meanwhile, to solve the problem of difficult parameter tuning of the LADRC, IPSO was introduced to optimize the parameters. Thirdly, the adaptive control (APC) was introduced to compensate for the observation error caused by the bandwidth limitation of the linear state expansion observer in LADRC and the tracking error caused by an unknown disturbance during the train’s operation. Additionally, the Lyapunov theory was used to prove the stability of the system. Finally, the simulation results showed that the designed control scheme is more effective in solving the problem of HST speed tracking.

Research on Backstepping Linear Active Disturbance Rejection Control of Hypersonic Vehicle

“…However, there are too many controller parameters in ADRC. Many intelligent optimization algorithms such as the foraging algorithm [25] and particle swarm algorithm [26,27] are used to optimize controller parameters. In the literature [28], a mass adaptive control method combining with robust sliding mode control (SMC) and linear active disturbance rejection control (LADRC) is designed for the quadrotor load unmanned aerial vehicle (UAV) with mass variation, but they are still difficult to adjust and have large parameter errors.…”

Desarrollo y simulación del subsistema de operación automático para trenes

“…Para la obtención del modelo dinámico del tren, es necesario apoyarse en las leyes de Newton y en el diagrama de solido libre que hace referencia al mismo (Xue et al, 2022;Chen et al, 2022).…”

“…En cuanto a la resistencia debido a las perturbaciones de la vía, mencionar que esta encapsula la resistencia debido a curvaturas, la resistencia debida al avance en rampa y la resistencia en túneles (Xue et al, 2022). A continuación se pueden apreciar las expresiones asociadas a cada tipo de perturbación mencionada:…”

MPPT Control Algorithm Based on Particle Swarm Optimization and Adaptive Linear Active Disturbance Rejection Control

“…Meanwhile, LADRC technology has been increasingly applied to other kinds of domains with its good anti-interference ability, fast response speed and other advantages. In [23], the LADRC controller was applied to the control scheme of a high-speed train, so that the train can achieve speed tracking control accurately and rapidly, and the impact caused by external interference is suppressed. In [24], in order to keep the DC bus voltage of the inverter stable during operation, LADRC is applied to the inverter control strategy to complete the control of the inverter bridge.…”