Research And Application For Vehicle Shock Absorbers Modeling Method Based On Neural Network

According to the National Nature Science Foundation of China and the Key Science Technology Project of Zhejiang Province, this theses mainly research the vehicle shock absorbers modeling and test-bed designing. There are six parts in whole thesis:Chapter 1 presents the background and meaning of this task. Modeling method of double-tube shock absorbers and MagnetoRheological Fluid(MRF) dampers are studied both at home and abroad. The structure of the thesis is summarized in the end.Chapter 2, on basis of the research about working principle and performance of double-tube shock absorbers, the author analyzes all the parts inside the shock absorber and selects every character parameters of absorber. For later modeling work, slices equivalent thickness theory is imported.Chapter 3, the test equipments of shock absorbers and suspension in the market are compared to find their advantages. A multiple-function test-bed for shock absorbers and quarter suspension is invented. The innovative parts of the test-bed and sensors used on this equipment are introduced.Chapter 4, a performance simulating model is established based on Neural Network technology. The detailed process of modeling is presented. Training and validating of the model are carried out. The simulation results illustrate that the model can predict the F-v performance effectively. Precision of the model can developed along with the increasing date set.Chapter 5, under MATLAB environment a performance simulation software is designed and its operation flow are showed. Neural Network modeling method is applied to MRF dampers.Chapter 6, sum-up of the thesis and expectation of the future work.