Vibration Analysis of an Experimental Suspension System Using Artificial Neural Networks

The primary purpose of this investigation is to analyze the effects of vibrations on comfort and road holding capability of vehicles as observed in the variations of different parameters such as suspension springs, road roughness. Also, the problem of the design of experimental car suspension system for ride qualities using neural networks is presented. Two types of neural network are employed to analyze vibrations of experimental vehicle suspensions on different points. The road roughness is generated by using a pneumatic actuator with different strokes.

The experimental and simulation results indicate that Radial Basis Neural Network more effective in the vibration isolation of the car body than Back Propagation Neural Network. The proposed neural network predictor could be used on all vehicle’s suspension vibration analysis.