Research On Control Application Of The MR Damper In The Vehicle Semi-active Suspension

The goal of the suspension system is to improve the road retention when the vehicle is driving.The main problem in its design is that the designer must deal with contradictory indicators,that is,the vehicle should have good comfort and maneuverability.Magnetorheological dampers(MRD)are considered to be the most suitable choice of working elements for semi-active suspensions due to their wide working output range,fast response time,and low price.So,it has a strong practical significance for semi-active control of vehicles to build the accurate models and design the effective control strategies.The strong non-linearity and hysteresis of the MRD has brought great difficulties to build the modeling and control strategy design of the magneto-rheological damper semiactive suspension.So,Modeling and value analysis for these two issues.The MRD of the Lord Company was calibrated to analyze its nonlinearity and hysteresis.The Dahl model with clear physical meaning and simple structure was used and parameter fitting was performed,and then the correctness of the parameterized model was verified.The BP neural network was used to fit the Dahl model nonlinearly.Neural network inverse model of the MRD was established,and data validation and generalization verification were performed.Simulation models and state space equations for quarter semi-active and passive suspensions were established as the basis of the study.A white noise method was used to establish a time-domain model of the random road surface as the excitation input model of the suspension system.The vehicle acceleration,suspension driving and tire deformation were selected as the vehicle performance indicators,and an objective function with a weighting matrix was established.At the same time,the genetic algorithm was used to optimize the weight matrix of the optimal controller,and simulation experiments were performed in Simulink.The results showed that compared with the passive suspension,the rms value of the body acceleration has decreased by 38.7%,and the MRD semi-active suspension based on genetic algorithm optimal control can effectively improve the ride comfort.Figure 58;Table 6;Reference;58...