Title :
Research of MR damper based on Artificial Neural Networks
Author :
Bai, Shu Hong ; Wang, Qi
Author_Institution :
Electr. & Electron. Eng., Chengdu Electromech. Coll., Chengdu, China
Abstract :
Considering the structural uncertainty and nonlinearity, this paper presents a system identification method based on Artificial Neural Network(ANN), constructs neural network with a hidden layer, uses the error back propagation algorithm training, simulates a multi-layer structure In the dynamic response. Simulation results show that the identification structure of the neural network is valid.
Keywords :
backpropagation; magnetorheology; neurocontrollers; shock absorbers; uncertain systems; vibration control; MR damper; artificial neural network; dynamic response; error back propagation algorithm training; multilayer structure simulation; structural uncertainty; system identification method; Artificial neural networks; Shock absorbers; Artificial Neural Networks (ANN); magnetorheological(MR) damper; semi-active control;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014354
