Research On Intelligent PID Control Of Vehicleactive Suspension

With the development of social economy, the car has become more and more popular inpeople’s life, people with such aspects of car performance is higher and higher demands areproposed. Suspension as an important part of the car system, directly affects the vehicleriding comfort and handling stability, passive suspension due to its inherent shortcomings,make its performance cannot change along with the change of the road. And activesuspension has as actuator force generator, can according to different conditions in real time asuitable control on the suspension system, it overcomes the passive suspension can’t adjustthe defects of suspension system performance, greatly improving the vehicle riding comfortand handling stability. Therefore, how to design a reasonable control strategy enables thecontrol to the best to improve the performance of the active suspension design known as themain problems.Since the1980s, with the rapid development of information technology, computingtechnology and other subjects of mutual penetration, control in the field of scientific researchhas been deepening, the control system is also to the development of intelligent controlsystem. Intelligent control is automatic control the development of advanced stage, is thecollection of artificial intelligence, cognitive science, fuzzy set theory and biological controltheory, and many other science highly integrated with the integration of the emerginginterdisciplinary sciences. Science and intelligent control theory is the hot research field ofmany scholars both at home and abroad, it represents the new direction of the development ofthe science and technology control.This article is based on two degree of freedom quarter car model of active suspensionfrom the study, the PID control of the intelligent control strategy, successively designedactive suspension PID controller, fuzzy PID controller and the BP neural network PID controller, and puts forward a kind of in the final artificial bee colony algorithm (ABC) wasused to optimize the BP neural network PID control strategy. Built by using Matlab/Simulinkplatform, and the random road input model, and then the body acceleration, suspension traveland tire dynamic deflection on the three important indexes compared with passive suspensionwas simulated, the results showed that the four kinds of control strategy of active suspensioncompared with the passive suspension on the acceleration of the car body is the mostimportant indicators have different degrees of improvement, the other two indicators are inthe permitted range, especially using artificial swarm algorithm to optimize the BP neuralnetwork PID controller to control effect is significantly better than the other control strategies,this control method for active suspension control theory provides a new train of thought.