摘要
对目前应用较广泛的PAC2002轮胎模型参数辨识方法进行了系统深入的分析。应用MTS Flat-Trac CT高速轮胎特性试验台对不同工况下的轮胎六分力进行测试,应用最小二乘思想,基于相关测试数据,运用下山单纯形法(Nelder-Mead)、遗传算法与随机值法相结合的混合优化算法进行轮胎模型参数辨识,通过算例验证了算法的有效性。
The widely used PAC2002 tire model parameter identification method is analyzed systematically. The MTS Flat-Trac CT high-speed tire characteristic test rig is used to test the tire six component force under different working conditions.Using the least square idea and based on the related test data, the tire model parameters are identified by using the downhill simplex method(Nelder-Mead), the genetic algorithm and the random value method. The effectiveness of the algorithm is verified by an example.
引文
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