Dynamical Modeling and Neural Network Adaptive Control of Vehicle Suspension
This paper attempts to establish the vibration control technology based on neural network control. First, the dynamic model of vehicle suspension system is discussed, and the linear passive suspension model and nonlinear spring suspension model of the vertical acceleration are compared. It is shown that the performance of nonlinear spring suspension is better than that of the linear passive suspension model. Because of the great advantages of the neural network in dealing with the nonlinear property, secondly, model reference neural control module is introduced in the suspension system to realize the optimization of the body vertical acceleration. Simulation results demonstrate the effectiveness of the neural network adaptive controller with application to vehicle suspension.
Vehicle suspension non-linear system neural network model reference control
JuntaoFei Jing Xu
College of Computer and Information, Hohai University, Changzhou, 213022, China Water Resource and Hydropower Company, Nari Group Corporation, Nanjing, 210003, China
国际会议
大连
英文
516-519
2011-10-19（万方平台首次上网日期，不代表论文的发表时间）