Research On Adaptive Control Strategy Of Intelligent Suspension Based On Electromagnetic Linear Actuator

Active suspensions perform real-time active control of the suspension system through actuators,which can improve vehicle dynamic performance more effectively than passive or semi-active suspensions.The rapid development of environmental awareness technology for smart cars provides opportunities for smart suspensions to adapt to different road conditions and further improve the overall dynamic performance of vehicles.In this paper,the intelligent suspension of the integrated electromagnetic linear actuator is taken as the research object,and the road surface identification technology is used to obtain the road level information,and then the suspension system is researched on the adaptive control strategy for various road levels and speed ranges.First,based on the specific parameters of the front suspension of an SUV model,a 1/4vehicle suspension system dynamic model and road input model are established to lay the groundwork for road surface recognition technology and the intelligent suspension adaptive control strategy.Through the detailed introduction to the structure and working principle of the electromagnetic linear actuator,and the test of the prototype of the actuator is performed to obtain the relationship between the electromagnetic thrust and the input current,a mathematical model of the electromagnetic linear actuator is established.Then,based on the vehicle dynamic response,the research of road recognition technology is carried out.A method for identifying road unevenness degrees based on NARX neural network was came up with.The suspension dynamic deflection,centroid acceleration and wheel vibration acceleration are collected from a 1/4 vehicle suspension system.These signals are used as the input data of the NARX neural network,and the unevenness of the road surface as the output signal,and a corresponding program is written in MATLAB software to to identify unevenness of different grades of road surface.Subsequently,an intelligent suspension control strategy based on the actual ceiling algorithm was proposed.By establishing a joint simulation model of MATLAB and ADAMS,the optimal ceiling damping coefficients for different road grades and speed ranges were determined.Combined with road recognition technology,Simulink/Stateflow was used to design the multi-damped mode switching control system,and the random switching conditions were used to verify the effectiveness of the multi-damped mode system and the actual ceiling algorithm.Verification results show that both the mode switching system and the algorithm has practical positive impacts on smart suspension system,the effective combination of road information and suspension control is realized.Finally,a 1/4 vehicle suspension system hardware-In-Loop simulation experiment was conducted using d SPACE.The validation test shows imporvments on vehicle’s dynamic performance under smart suspension system using actual damping control algorithm proposed in this paper.