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Abstract: Based on the experiments of variable damper, the nonlinear
model of semi-active suspension is established and compared with the
linear one. The convergence speed is high by adapting the power value of
neural network adopted indirect study method of neural network control
according to the demand of the performance value function of
semi-active suspension. The result of simulation indicates that the
semiactive suspension control law configured by the model is easy to
realize and the control effect is remarkable.
Key words: Semi-active suspension Variable damper Control
CLC No: U463.33
国家自然科学基金(50275064)、江苏省自然科学基金(BK2001199)和江苏省高新技术(BG2004025)资助项目.
Received 20040109, received in revised form 20040517
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