Based On ADAMS And MATLAB Co-simulation Of Research On Half-active Suspension Control

The suspension system is responsible for alleviating the impact of external interference on the car,which affects the car’s smoothness and stability.Semiactive suspension can not only overcome the shortcomings that passive suspension cannot change the damping coefficient according to the road surface,and it is difficult to meet the requirements of smoothness and stability at the same time,but also has lower cost and energy requirements than active suspension,and is paid attention by scholars at home and abroad.Due to the slow development of research in the field of controllers,research on actuator control strategies has attracted much attention.Compared with intelligent control,LQG control has a clear purpose and simple calculation,and does not require the combination of ceiling control,sliding mode control,PID control and other control strategies to achieve the control effect.Therefore,LQG control is widely used in semi-active suspension design among.This article takes the 1/4 car two-degree-of-freedom semi-active suspension system as the research goal,based on the quadratic linear optimal control to do related research work on the design of the LQG controller,the specific content is as follows:Firstly,based on the white noise filtering,the common b-grade road surface and the random road surface with the speed of 40Km/h and 80Km/h for the cgrade and d-grade road surface in engineering test were established in the MATALB software,which laid a foundation for the joint simulation;The 4-vehicle passive suspension and semi-active suspension models use linear quadratic optimal control to establish the LQG controller;based on the established LQG controller,a simulation model is established in MATLAB software;the weighting coefficients for the LQG controller are often For the problem of taking value from the engineer’s experience,the weight coefficient is optimized using the fruit fly optimization algorithm,and the fruit fly optimization algorithm is easy to fall into the local optimal solution.The Levi flight strategy is added to the fruit fly optimization algorithm.The optimization algorithm was further optimized,and the optimized fruit fly algorithm was tested through the test function.The optimized result of the test result optimized fruit fly optimization algorithm was strengthened.Through simulation and comparison of the passive suspension and the semi-active suspension controlled by the LQG controller,it is found that the optimized semi-active suspension improves ride comfort and safety without affecting stability.Finally,a double-wishbone front suspension mechanical model was established in the ADAMS / car software by using a certain model SUV as a template,and the model was imported into the ADAMS / view software.The ADMAS / control module was used to establish a communication connection with the MATLAB software.The LQG controller built in the system establishes a joint simulation model and optimizes the parameters used in the simulation before the joint simulation.Through simulation analysis,it is found that the PLFOA semiactive suspension reduces the acceleration of the vehicle body under the premise that the dynamic deflection of the suspension is not affected.And the dynamic travel of the tire improves ride comfort and safety.Finally,through frequency domain analysis,the peak index of the average power spectrum of each evaluation index is found.It is found that the ride comfort and operation stability of the car are effectively improved.