Research Of The Dynamics Model Of Automobile Tire

The tire is the most representative non-linear part of the automobile system, which behavior is very complicated. As a supporting of automobile and road surface and transmission unit, its dynamics characteristic influences the movement performance of the automobile directly. It depends on the precision of the tire dynamics model to a great extent that the automobile handles the calculation precision of stability. People have carried on extensive research for many years, and have set up a lot of tire models, each one has its special function. Dynamics that these models are used mainly in the automobile is analyzed, but they can' t include all non-linear factors of the tire, which influences precision of studying undoubtedly.An artificial neural networks is a very hot cross discipline developed recently, it is a calculation model of a kind of process of cognition which is close to the person in essence. The neural networks system is a highly complicated nonlinear kinetics system. It is made up of a large number of neuron nodes, though the structure of each neuron is relatively simple, limited with the function, but the networks teamwork joined from a large number of neurons in some way, adjust the connection intensity among the neuron in rule, they can make the system have very strong functions. The model has highly fault-tolerant, imagination and self-organization properties, and can approach any nonlinear function, so on, it have better ability of shining upon to non-linear system.The accurate description of the dynamics characteristic of a tire is a foundation to study dynamics of automobile, but it is comparatively difficult to solve the non-linear problem by traditional mathematics method. Therefore people begin to study and employ neural network theory to respects such as the modeling of the automobile dynamics characteristic and automation control, etc. This subject mainly focuseson modeling and analyzing the model of the automobile tire with BP neural network. This subject utilizes 'magic formula* to set up dynamics model of automobile tire under purely work condition in chapter two, and compare with the survey result, the model error is relatively lager. Among the chapter four, at first the author utilizes MATLAB interface GUI , that neural network toolbox offered, to set up the neural network model of tire under purely work condition, choose suitable relevant parameters to train it, and the model predicted value after trained is compared with the survey result, the error reduces a lot more than the model error of "magic formula";Later, sets up the neural network model of tire under united work condition, and the model predicted value after training was compared with the survey result, the error is controlled in the range of allowed, the precision is good. It verifies the practicability of this kind of modeling method.