Development of a System Identification Method for High Dimensional Vehicle Dynamics Modeling

• Main Authors: Li, Kuo-Ping, 李國平
• Other Authors: Lin, Chiu-Feng
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/za8uhg

碩士 === 國立屏東科技大學 === 車輛工程系所 === 105 === The purpose of this study is to establish a parameter identification method for various high dimensional vehicles dynamics model. In the dynamics model some parameters values are often not directly available from measuring instruments. Therefore, this study establishes a method to infer these parameters values. This method used the dynamic response of the actual vehicle test to parameter identification by data analysis. The data analysis is based on optimization, so that the simulation of the dynamic model with the identified parameters is the same as the dynamic response by the actual vehicle test. This study planned tests based on the parameters that affect the dynamic to be variables. Which contain longitudinal tests, driving vertical motion tests, and lateral testing three category. Then use the dynamic variables collected of the tests to identify the parameters. We set up the initial value and the error range of each parameter. And use dynamic variables collected of the actual vehicle test as a goal for narrow the error range down to . Finally, the parameter identification is performed using a dynamic variables collected of the actual vehicle test which is affected by all parameter. We use the pitch rate, roll rate, yaw rate, and lateral acceleration dynamic variables measure by Double Lane Change which of 120 km/hr and 200 meters length to validate. And the dynamic variables of the parameters identified by this study are compared with the dynamic variables by the actual vehicle test. The final results show that the average relative error of pitch rate is -0.236% each records, roll rate is 0.608% each records, yaw rate is -0.225% each records and, lateral acceleration is 0.200% each records.