The New Design Of The Smart Car Tracking Based On Fuzzy Control

With the development of the modern science and technology, the robot application hasbecome more and more wide. The multifunctional mobile robot integrates mechanical andelectrical, and its performance has been continually improved. Mobile robot technology is paidattention in the city security, the space exploration and so on. As a kind of mobile robot, thesmart car is called a wheeled robot, it develops most rapidly in science and technology field.Smart car has a great auto-guidance function, so it gets more and more wide application in themodern logistics delivery system. Smart car should have good performance in the runningprocess, for example, it should judge accurately and operate stably in the path recognition andpath following, and it should have the real-time, so the research and improvement of theaccuracy, stability and real-time in the aspects have been important and practical significance.This paper proposes a new structure of the intelligent car, it analyzes the car andestablishes the mathematical model according to the actual structure. This structure can makethe car to respond to the unknown road conditions more rapidly and accurately. The newstructure controls the turning by the steering engine and differential motor simultaneously. Themain controller is Cortex-A8core control chip, Arduino is used to control the rock-bottomoperating of the intelligent vehicle to communicate with the main controller to control thevehicle. Infrared electric sensor can identify the path information and transmit the collecteddata to the main controller, the main controller can give accurate information of data through acontrol strategy, the steering engine and DC motor is used to control the position and speed ofthe car. In a certain extent, the choice of control strategy affects the accuracy, stability andreal-time in the path recognition and path tracking. Because the identified path information iscomplex and uncertain, this topic chooses the fuzzy control algorithm to analysis the pathinformation. Fuzzy controller is based on the operation experience of the controlled object, sothere is no need to establish a mathematical model about path. The observation of the runningstatus of the smart car shows that the car can run on a given route accurately, so the intelligentvehicle has obvious advantages in the accuracy, stability and speed control of the pathrecognition. This proves that the performance of the smart car has been greatly improved.