Research And Design Of Tracking And Obstacle Avoidance Of Intelligent Car Based On ARM Single Chip Microcomputer

Because of its small,specialized,convenient and high reliability,embedded single-chip microcomputer system has been widely used in various industries and fields,such as industrial robots,modern military,computer national defense,e-commerce,mobile communication,industrial automation and control fields.This paper is mainly about the design and research of two modules of intelligent car tracking and obstacle avoidance by using ultrasonic technology,and the research of other functions,such as the research of signal mutual transmission and communication between cars,the research of voice broadcast function,the research of camera machine vision,the research of traffic light control,etc.The research work mainly includes the design of the overall scheme of the car,the selection of the hardware module,the design of the circuit,the research and design of the tracking and obstacle avoidance control algorithm,and the compilation of the core code.In this paper,the tracking control algorithm and obstacle avoidance control algorithm are studied in detail and effectively.The ultimate goal is to enable the intelligent car to complete various tracking actions and obstacle avoidance tasks in the sand table through relevant control instructions.1.The first part is the general introduction of the intelligent car,the module introduction of the main car and the overall design introduction of the slave car,including the hardware selection and circuit design of the core board including the main chip,the hardware selection and circuit design of the tracking board,task board,motor drive board,communication display board,etc.,the design and introduction of the AGV embedded intelligent mobile platform,as well as the communication design and development The main research work in this module is hardware selection and function test.2.The core work is to establish the mathematical model of in telligent car tracking in the algorithm analysis,and further analyze the tracking and effective obstacle avoidance.Finally,the fuzzy PID algorithm is applied to the control of the intelligent car in this paper,because the fuzzy PID control can be well applied to the complex control system,and the control accuracy is higher.For the infrared obstacle avoidance of the car,two algorithms,delay judgment and STM32 timer interruption,are used to achieve the goal3.Through the experimental verification,the intelligent car designed in this paper has a good adaptive ability,can achieve a good tracking function when moving on the track,the error is within the controllable range,and can meet the expected design requirements.On the basis of traditional embedded automation control,the further research direction of this subject is to further develop into industrial intelligent control,close combination of software and hardware platforms,Internet of things environment awareness,intelligent algorithm based on deep learning and embedded system development platform for big data analysis.Therefore,this research has important practical value.