智能轮胎系统的模糊控制器

Xiangwen Zhang, Zhixue Wang, Wei Li, D. He, Feiyue Wang
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引用次数: 5

摘要

设计了一种模糊控制器。轮胎温度、气压、速度被定义为输入变量。将速度补偿和压力补偿定义为输出变量。通过考虑输入和输出变量之间的定性关系,得到模糊逻辑规则。采用模糊逻辑控制器对智能轮胎系统进行了建模。将轮胎损耗系数和胎压安全系数定义为衡量轮胎经济性和安全性的指标。对有模糊控制器和无模糊控制器的智能轮胎系统进行了仿真。结果表明,模糊控制器能明显降低轮胎损耗系数,提高轮胎压力安全系数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fuzzy logic controller for an intelligent tires system
A fuzzy logic controller is designed. The tire temperature, pressure, velocity are defined as input variables. The velocity compensation and the pressure compensation are defined as output variables. The fuzzy logic rules are got by considering the qualitative relations among the input and output variables. The intelligent tires system with the fuzzy logic controller is modeled. The tire wastage e coefficient and the tire pressure safety coefficient are defined as the measure of the tire economy and safety. The simulation of the intelligent, tires system with and without the fuzzy logic controller is performed. The results show that the fuzzy logic controller can decrease the tire wastage coefficient and increase the pressure safety coefficient obviously.
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