Compound Control Strategy of Sem-Active Suspension for Heavy Multi-Wheeled Vehicle
For the semi-active suspension system of heavy vehicles and its key components adjustable vane shock absorbers,a lay-ered composite control strategy with depth confidence network inverse model was proposed.Firstly,based on the test data of the adjustable vane shock absorber on the road simulation bench,an inverse model based on the deep belief network is established,which can invert the control current according to the demand damping force.Then,the constrained optimal controller and the fuzzy controller are respectively established according to the 14 DOF model and the single-wheel suspension model,and the weighted distribution of the two controllers is carried out by an S function to obtain the final demand damping force output.Based on Python and Matlab/Simulink environment,a virtual test platform was built to verify the feasibility of the inverse model of deep confidence network,and the composite control strategy was simulated and verified.The results show that the proposed composite control strategy can effectively improve the comfort and safety of vehicles.
Semi-Active SuspensionAdjustable Vane Type Shock AbsorberDeep Belief Network(DBN)Con-strained Optimal ControlFuzzy ControlCompound Control
NETL
NSTL
万方数据
维普
