The Research Of Vehicle Active Suspension Control Strategy Based On The Intelligent Control

With the development of economy and the people living standard rise, the car inpeople’s life and production has become an indispensable part, and people to therequirements of automotive ride comfort and handling stability is improved. Suspensionfor the vehicle riding comfort and steering stability has a great influence, but passivesuspension is difficult to meet the higher requirements for vehicle comfort and stabilitydue to the disadvantages of its own. The active suspension can adapt to the changingenvironment, It overcomes the limitations that the passive suspension can’t real-timeadjust the suspension system features, and make the car ride comfort and handlingstability to achieve the best.The main problem for active suspension system design is how to choose reasonablecontrol strategy to produce and regulate control, so as to slow the effect of vehiclevibration. We improve the improved single neuron control algorithm in order to solve thisproblem, and applied to the active suspension system.Based on the reference for the automobile suspension system control research and theresults experiment of home and abroad, the nonlinear characteristics of suspension systemwas analyzed, and the two degrees of freedom nonlinear model and the four degrees offreedom nonlinear model were established by MATLAB/Simulink. There are two kinds oftypical road surface excitation input model in the article, they are random road model andhit the road.With two degrees of freedom nonlinear suspension model as the research object, thesingle neuron controller was designed and the artificial bee colony was applied to optimizethe gain of the single neuron control. With body vertical acceleration，suspension dynamicdeflection and tire dynamic displacement as the performance evaluation indicators,thecontroller damping effect and the adaptability for the change of road input and modelparameters were researched; Combing with the improved single neuron control algorithmand fuzzy control algorithm, the new algorithm was applied to the four degrees of freedomnonlinear suspension system, and was proved by MATLAB/Simulink. With the Freescale MC9S12XEQ512MAL microcontroller as controller core, theperiphery circuit were designed, the control algorithm program were written according tothe control requirement, and the hardware in the loop simulation platform was Using setup by MATLAB/RTW tools and xPC Target real-time simulation system for test and verifythe validity and reliability of the control algorithm.