基于模糊控制的金属检测导航智能车转向系统研究

steering system based on fuzzy control of Metal detection car

提出了LCR检测方案作为金属检测导航智能车的道路识别方式,在此基础上,列举了小车在高速情况下通过连续急弯的三种转向方案,并实验验证了小车对于每种转向方案的动态效果。构建了自适应模糊PD控制器,以偏差和变差作为模糊输入,采用最大隶属度原则调整控制规则,进而实现了以金属检测为导航的智能车转向自适应系统设计。

The LCR scheme is proposed as the method of road identification for the detection of intelligent car, On this basis, three high speed of steering schemes are listed, . And using experiment verified the dynamic effect of each way The adaptive fuzzy PD controller is constructed, With the deviation and variation as the fuzzy input, the control rule is adjusted by the maximum membership principle. It is achieved by metal detection for the navigation of Adaptive steering system.