Search Results

Statistical energy analysis (SEA) has become an accepted method to predict noise, vibration and harshness (NVH) in vehicles. There may be, however, significant differences between the absolute value of the predicted mean and the value observed from measurement. These differences are associated with the statistical variability of the prediction. The methods for the statistical response prediction have been summarized in this paper. A mode decomposition method, which can simplify the response prediction in SEA when there are so many input resources act on the vehicle, was presented, and some ways needed to improve the precision of the statistical response prediction have been point out.

With the aim of improving vehicle steering stability through the introduction of active steering control in obstacle avoidance, the author undertook the development of the fuzzy neural networks. By using back propagation neural network as the base, it can use fuzzy theory and neural networks together to form a fuzzy neural networks control system. So it can auto pick-up the fuzzy rule and build the subordinate function. The result of simulation analyses and experiments indicate that the method proposed in the paper can achieve safe and stability in steering control of obstacle avoidance of intelligent mobile vehicle.