关键词: 人工神经网络, 混合算法, 磁悬浮隔振器, 改进遗传算法, 控制器

Abstract:

MSI, as an active isolation actuator, had advantages including noncontact,high response frequency, high reliability and long lifespan. However, its potential was not fully explored due to the nonlinear and hysteretic behavior in dynamic environments, and there was limited research work in the area. This paper proposed a new ANNbased approach to model the dynamics of MSI. A HA was developed to train the ANN to improve the model accuracy. Results clearly show that the ANN model with the HA approach outperforms the back propagation(BP) approach and modified genetic algorithm(MGA) approach. An experimental platform was developed to test the performance of the magnetic suspension vibration isolation system and the proposed modeling approach. The output force response of the active and passive system under the same excitation are measured. The results show that the active with proposed model control system has much better performance in vibration isolation.

Key words: artificial neural network(ANN), hybrid approach(HA), magnetic suspension isolator(MSI), controller