神经网络在车辆半主动控制中的应用
Application of Neural Networks in Control of Semi-Active Vehicle Suspension
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摘要:针对车辆半主动悬挂模型的非线性特性,研究了采用神经网络的自适应控制在车辆悬挂半主动控制中 的应用,设计了采用前馈神经网络的辩识器和控制器,对控制器网络采用的学习规则进行了分析。仿真计算表 明,采用神经网络自适应控制方法能有效改善车辆的平稳性,采用的神经网络辩识器和控制器的改进BP算法是 有效的。Abstract:In view of the nonlinear characteristics of the semi-active suspension model of vehicles, a study on the application of the adaptive control based on neural networks to semi-active suspension is made. An identifier and a controller with feedforward neural networks are designed, and a specialized learning rule used for the controller is analyzed. The results of simulation show that the ride comfort of a vehicle can be improved by using adaptive control based on neural networks, and the improved BP algorithm used for the neural networks identifier and controller is effective.
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Key words:
- vehicles/
- neural networks/
- semi-active control/
- adaptive control
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