The Research Of Automatic Parking System

The automatic parking system is mainly composed of environment acquisition system,central processing unit and control system.The environmental acquisition system is composed of a variety of sensors,which can collect information about the surrounding vehicles and transmit it to the central system.The function of Central System is to make parking path and generate corresponding control commands(including speed command and steering wheel angle command).The control system consists of a variety of control sensors.The sensors of the control system complete the automatic parking process by executing the commands of the processor.This paper mainly studies the path planning and parking strategy of CPU.The purpose is to realize the path planning in the automatic parking technology through the software of Matlab,and the whole process of automatic parking and positioning through the circuit modification of the real car.On the premise of satisfying vehicle stability,the corresponding vehicle model and route planning model are established.Through particle swarm optimization(PSO),the route from the starting position to the optimal parking position is calculated and planned.The process from the optimal parking position to the full parking space is simulated by fuzzy control.Finally,the feasibility of the design is verified by a real vehicle.The test results show that the route planning and other related technologies studied in this paper can be successfully applied to automatic parking.