Abstract
Because of many common scenes of reverse parking in real life, this paper presents a fuzzy controller which accommodates front and back adjustment of vehicle’s body attitude, and based on chaotic-genetic arithmetic to optimize the membership function of this controller, and get a vertical parking fuzzy controller whose simulation result is good .The paper makes the hardware-software embedded design for system based on Field-Programmable Gate Array (FPGA), and set up a 1:10 verification platform of smart car to verify the fuzzy garage parking system with real car. Verification results show that, the system can complete the parking task very well.
Highlights
Automatic parking means that after reaching the parking area, according to the information returned by the external sensor and using intelligent algorithm, vehiclemounted controller guides the car go into the parking space automatically
Literature [6,7,8] use fuzzy controller to solve the problems of control decision of vertical and parallel parking process
This paper aims at the common scene of reverse parking in real life to design a fuzzy garage parking system (FGPS) which uses the fuzzy algorithm as the core strategy
Summary
Automatic parking means that after reaching the parking area, according to the information returned by the external sensor and using intelligent algorithm, vehiclemounted controller guides the car go into the parking space automatically. To improve the stability and intelligence of the automatic parking system, the researchers have proposed a variety of control strategies in recent years. Literature [1,2,3,4,5] proposed the path tracking method to guide parking, it means that the parking route is composed of the defined multistage continuous curvature curve (such as sine curve, five polynomial curve, etc.), and control the cars to drive along the reference path based on precision controller. Based on fuzzy parking system, literature [9] proposed the attitude adjustment in parking space, making the car move along the center line after drive into the parking space. Some studies combine the fuzzy control and other algorithms to improve the control ability, such as neural networks [11] and genetic algorithms [12]
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