Application of Fuzzy Adaptive PID Control in Magnetic Suspension Test Vehicle Model

Zuo, Zhichao; Dai, Chunhui; Deng, Peng; Li, Zhiqiang

doi:10.1109/cac.2018.8623147

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…At present, the control algorithm of the high-speed maglev train is still based on PID control, which realizes feedback control by calculating the acceleration of the electromagnet and the difference between the actual gap and rated gap. 8,9 However, PID control does not involve the vehicle system parameters and external disturbance; the algorithm will not change with the load on the train, which is easy cause the fluctuation and instability of the suspension gap. Common state feedback control is challenging to meet the control requirements, so algorithms such as neural network control, 10,11 genetic algorithm control, 12,13 and sliding mode control 14 have been applied to the electromagnetic suspension system.…”

Section: Introductionmentioning

confidence: 99%

Research on sliding mode controller of the high-speed maglev train under aerodynamic load

Liu

et al. 2022

Advances in Mechanical Engineering

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The high-speed maglev train will be subjected to extremely obvious aerodynamic load and instantaneous aerodynamic impact during passing another train, which brings significant challenges to the train’s suspension stability and safe operation. It’s necessary to consider the influence of aerodynamic load and shock waves in the design of suspension control algorithms. Traditional proportion integration differentiation (PID) control cannot follow the change of vehicle parameters or external disturbance, which is easy to cause suspension fluctuation and instability. To improve the suspension stability and vibration suppression of the high-speed maglev train under aerodynamic load and impact, we design a siding mode controller introducing the primary suspension’s deformation to replace the aerodynamic load on the electromagnet. Furthermore, we establish the train’s dynamic simulation model with three vehicles and compare the designed controller and the PID controller for their performance in controlling the model suspension stability in the presence of the train operating in open air. Simulation results show that the sliding mode control (SMC) method proposed in this paper can effectively restrain the electromagnet fluctuation of the train under aerodynamic loads.

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