Suspension is an important part of the vehicle, their vehicle's ride comfort, handling and stability and so has an important effect, so the suspension has long been working to improve performance. Vehicles equipped with active air suspension not only improves comfort, but also improve the grounding of the tire and vehicle handling stability, reduce damage to vehicles on the road to enhance the protection of the goods. Therefore, control of active air suspension has become a rewarding job. First, access to a large number of air springs and air suspension on the basis of research literature, systematic analysis of the domestic and international air suspension of the status quo. Meanwhile, the analysis of air spring charge and discharge gas properties, the active air suspension provides the basis for the design of the controller. Secondly, a random road input model, and apply Newton's laws to establish a 1 / 4 two degrees of freedom vehicle dynamic model of air suspension and air suspension, seven degrees of freedom vehicle dynamic model. Again, the control method is the active air suspension control technology, the core characteristics of the active air suspension has a significant impact. Therefore, this active air suspension system based on the vehicle dynamic characteristics of the optimal design of PID controller and fuzzy controller. Using MATLAB software under these two control systems simulation. The results showed that compared with the passive air suspension with optimal controller active air suspension system and fuzzy PID controller with active air suspension system is obviously improve vehicle ride comfort and handling stability. This shows that the added air suspension system and fuzzy PID controller optimal controller is reasonable, feasible and science.Finally, to test the optimal controller add air suspension performance and simulation results are consistent with the optimal control is designed for 1 / 4 vehicle two degrees of freedom active air suspension test rig. The results show that the optimal controller with active air suspension system and the passive air suspension system compared to its vertical acceleration of sprung mass has decreased significantly. Test results and simulation results further illustrate the unity of the optimal controller designed is reasonable and feasible.
Key words: air suspension, modeling, optimal control, fuzzy PID control, test
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