车辆主动悬架的神经网络模糊控制

利用神经网络来实现在车辆主动悬架中的模糊控制,通过对主动悬架实体装置的台架实验研究,在不同激励信号的作用下,神经网络模糊控制器都具有很好地抑制车体振动的特点,其控制效果明显优于PID控制。在车辆主动悬架中,神经网络模糊控制具有设计新颖,实用性强,特别对于减振效果要求较高的车辆,更能发挥其优点。

A Study on Neural-network Fuzzy Control for Active Suspensions of Vehicle

This paper uses neural-network to realize the fuzzy control in active suspensions of vehicle. According to the results of the experiments of active suspensions, the neural network fuzzy control system has the characteristics of restraining vibration of vehicle body under different excitation with an effect much better than PID control system. In active suspensions of vehicle the neural network fuzzy control has satisfactory performance with the characteristics of novel design and good practicability. Particularly, this method can work better under strong disturbances for vehicle with high requirement on vibration suppression.