Study And Simulation On The Active Suspension Control Theory

Suspension is one of the most important parts for vehicle. It influences ride comfort and handling safety of vehicle mostly. The stiffness and damping of passive suspension are designed referring to experience or optimization methods. They cannot vary with the changes of circumstance and meet all kinds of working conditions. The active suspension could adjust the control force actively and timely to reduce the vibration according to the working condition. It enables the vehicle to get optimal ride comfort and handling safety.At present, the control strategies study on vehicle active suspension are usually based on mathematics model. In this paper, it was replaced with machine model.The muti-rigid body system dynamical math model is produced by ADAMS based on virtual technology. Mathematics model is not needed to build. So it is applicable for the suspension system which is complicated non-linear and not easy to built accurate math model. The 1/4 vehicle active suspension model was built in ADAMS/View, and then it was used to study the control strategies.Road model and performance indexes of suspension lay a foundation for studying it. The rode model and suspension performance indexes was chosen and built. The design of control strategies is core for active suspension. It influences the susupension performance largely. An adaptive controlled based on single neuron fuzzy PID was designed in this paper. Single neuron is similar to non-linear PID, but their parameters can regulate on line by the Delta learning rules adaptively. The gain value is regulated by fuzzy controller referring to simulation results and driver experiences.The strategy of single neuron fuzzy PID was designed for active suspension and co-simulated with ADAMS and MTLAB. The simulation results show that it excels the passive and PID suspension at ride comfort and handling safety performance. It can obtain the better ride performance and good contact characteristics of tires though the suspension parameters and road conditions change.