摘要
针对传统建模法误差大、非线性程度严重的问题,本文利用人工神经网络技术,建立了汽车在接近性能极限运行时的非线性系统模型。它包括机械式汽车自动变速器最佳档位判定、四轮车辆转向的主动控制等模型。应用这些模型,改善了汽车的动态响应特性和抗干扰的稳定性。
For the traditional modeling methods have big errors and nonlinear performance,a nonlinear system modeling of automobile based on artificial neural networks was set up.It includes the optimum gear judgment of mechanical automatic transmissions and the active control of drive motion of four-wheel-steering car.The results show that the dynamic responding characteristic and the anti-interference stability of automobile are improved.
出处
《机床与液压》
北大核心
2005年第7期162-163,共2页
Machine Tool & Hydraulics
关键词
汽车
非线性系统
建模
人工神经网络
Automobile
Nonlinear system
Modeling
Artificial neural networks
