Optimization Of Suspension Structure Parameters And Control Strategy Research Of Active Suspension Based On Kalman Filter

All the power and torque transmission between the car's body and the wheel is done by the car suspension system.That is to say,the force and torque that the road give are transmitted through the suspension system to the body.The suspension system can absorb and attenuate the impact of uneven road surfaces,attenuates the vibration caused by the elastic system,to ensure the normal driving of the vehicle handling stability,ride comfort and driving safety.Because of the complex of road conditions,the traditional passive suspension has been difficult to meet people's comfort and safety requirements,while the complete active suspension energy consumption is very large,therefore,it is of great significance to develop a switchable suspension system with both active suspension and active suspension.The switchable suspension system can use passive conditions on good road conditions,and use active suspension systems to reduce vibration when the road conditions are poor,and are therefore more and more concerned by people.This article relies on Jilin Province automobile industry development special fund project-" research and development for active suspension with inertia control active"(20112330),by reading the excellent literature at home and abroad and using the self-made suspension model vehicle as the study object,the paper matched and optimized the parameters of the system.And then design the controller of active suspension system.At last,the paper conducted a simulation test and a real road test.Firstly,based on the physical kinematics model of the suspension,the appropriate state variables are selected to establish the state equation of the vehicle suspension system.A random pavement model is established based on the time lag of the front and rear wheels and the coherence of the left and right wheels.Then,in order to improve the performance of the vehicle under the passive state of the vehicle and evaluate the active suspension performance,the improved genetic algorithm is designed to optimize the suspension parameters to improve the performance of the vehicle under the passive state.The root mean square values of thevertical acceleration,pitch angle acceleration and roll angle acceleration of the system are 16.9%,23.08% and 16.58% respectively lower than the theoretical parameters.At the same time,in order to improve the performance of the vehicle under the active condition,the optimal control algorithm based on Kalman filter is designed based on the parameter optimization.In order to make the optimal controller get better results,this paper also uses the Kalman filter to estimate the state of the suspension and then for the optimal controller to use,which can greatly improve the accuracy of the feedback and reduce the number of sensors in the rack system,so that can reduces the cost.The three root mean square values of the active suspension system are reduced by 45.68%,51.51% and 59.78% respectively.Finally,in order to more effectively illustrate the design of the suspension system effect,will be designed to develop the active suspension controller installed in the test prototype on a real vehicle test.The results show that the active suspension controller designed and developed can improve the performance of the suspension system.