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Study of Electricity Powered Four-wheel Steering System Based on Fuzzy Neural Network

机译:基于模糊神经网络的电力四轮转向系统研究

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By the analysis of the operational principle of electricity powered four-wheel steering system, a new system based on the fuzzy neural network. Since this is a complex multivariate and non-linear system, by making use of the characteristics of fuzzy control and the neural network, a fuzzy neural network can be established. The speed of car and front-wheel steering angle being the input and steering model being the output, the side-slip angle of the in the process of steering can be control to zero. At last, by emulating this system with the software Matlab/Simulink, it shows that self-healing control technology can effectively control the side-slip angle and improve the motility and stability of a car.
机译:通过分析电力四轮转向系统的操作原理,基于模糊神经网络的新系统。由于这是一种复杂的多变量和非线性系统,因此通过利用模糊控制和神经网络的特性,可以建立模糊神经网络。汽车和前轮转向角的速度是输出的输入和转向模型,转向过程的侧滑角可以控制为零。最后,通过使用软件MATLAB / SIMULINK模拟该系统,它表明自我修复控制技术可以有效地控制侧滑角,提高汽车的动力和稳定性。

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