Study on techniques for active control of an engine-vehicle suspension system

This paper sets up an engine-vehicle suspension semi-active control system model, and puts forward a method combined neural network (NN) with adaptive control techniques to realize optimal results by adjusting and modifying parameters in the algorithm. The NN recognizer and NN controller were designed using neural network toolbox in MATLAB. The SIMULINK in the MATLAB was used to establish the neural network control system and to realize dynamic simulation. The simulated results proved that the semi-active control suspension system is prior to the traditional semi-active control system.