An Adaptive Neural Network Controller for Active Suspension Systems With Hydraulic Actuator

作者：Liu, Yan-Jun; Zeng, Qiang; Liu, Lei^*; Tong, Shaocheng

来源：IEEE Transactions on Systems, Man, and Cybernetics: Systems , 2020, 50(12): 5351-5360.

DOI：10.1109/TSMC.2018.2875187

• Hydraulic actuators
• Adaptation models
• Adaptive control
• Hydraulic systems
• Backstepping
• Vehicle dynamics
• Active suspension systems (ASSs)
• adaptive control
• dynamic surface control (DSC)
• hydraulic actuator
• neural networks (NNs)

In this paper, an adaptive neural network (NN) controller is proposed for a class of nonlinear active suspension systems (ASSs) with hydraulic actuator. To eliminate the problem of "explosion of complexity" inherently in the traditional backstepping design for the hydraulic actuator, a dynamic surface control technique is developed to stabilize the attitude of the vehicle by introducing a first-order filter. Meanwhile, the presented scheme improves the ride comfort even when the uncertain parameter exists. Due to the existence of uncertain terms, the NNs are used to approximate unknown functions in the ASSs. Finally, a simulation for a servo system with hydraulic actuator is shown to verify the effectiveness and reliability of the proposed approach.

• 出版日期2020-12
• 单位辽宁工业大学