Automatic Parking Control Algorithms and Simulation Research Based on Fuzzy Controller
With the increase of car ownership and the complex and crowded parking environment, it is difficult for drivers to complete the parking operation quickly and accurately, and even cause traffic accidents such as vehicle collision and road jam because of poor parking skills. The emergence of an automatic parking system can help drivers park safely and reduce the occurrence of safety accidents. In this paper, an adaptive proportional integral derivative neural network constrained control method based on radial basis function neural network model identifier is proposed for an automatic parallel parking system with front wheel steering is studied by using MATLAB/Simulink environment, and the simulation is carried out. Firstly, according to vehicle parameters and obstacle avoidance constraints, the minimum parking space, and parking starting position are calculated. Meanwhile, the path planning of parallel parking spaces is carried out by quintic polynomial.