The invention discloses a complex environment cooperative automatic automobile control method, which comprises the following steps of: 1, defining a motorcade of three automobiles, namely a head automobile, a first following automobile and a second following automobile; 2, planning a route of the head vehicle; 3, selecting the road condition according to the position relation of the three vehicles, and therefore simulating the road condition; and 4, outputting a result. According to the method, the simulation experiment of the backstepping method is summarized and concluded through learning research of the Q learning algorithm, the feasibility of using the backstepping method in the automobile self-adaptive control system is judged, simulation verification is conducted on the backstepping method, and the advantages and disadvantages of the backstepping method are analyzed. According to the optimized self-adaptive control system of the automobile under automatic control of the automobile in cooperation with the complex environment, the occurrence rate of accidents can be effectively reduced, and the travel safety is improved.
本发明公开了一种复杂环境协同的汽车自动控制方法,包括如下步骤:步骤一:定义三辆车的车队,分别为头车、跟车1、跟车2;步骤二:进行头车的路线规划;步骤三:根据三辆车的位置关系进行路况的选择,从而进行路况模拟;步骤四:输出结果。本发明通过对Q学习算法的学习研究总结归纳出的反推法的模拟实验,判别在汽车自适应控制系统中使用反推法的可行性,并且对反推法进行模拟验证,分析反推法的优劣性。本发明给出了优化后的复杂环境协同的汽车自动控制下的汽车的自适应控制系统,可以有效降低事故的发生率,增加出行的安全性。
Complex environment cooperative automatic automobile control method
一种复杂环境协同的汽车自动控制方法
2021-08-27
Patent
Elektronische Ressource
Chinesisch
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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