In order to realize the accurate obstacle avoidance function of
intelligent car, we propose an intelligent car obstacle avoidance system based on optimized fuzzy control
algorithm. Firstly, the kinematics model of intelligent car obstacle avoidance
is established, and an efficient environment information collection system
composed of multiple sensors is designed to realize the comprehensive collection of obstacle information. Then, the optimized fuzzy control system is adopted to
improve the position control accuracy and obstacle avoidance ability. Through
the physical debugging and joint simulation of the intelligent car fuzzy
controller in the MATLAB and Simulink environment, the simulation results show
that the control method can make the collision-free path planned by the
intelligent car from the initial state to the obstacle avoidance smoother, and
at the same time, the obstacle avoidance of the intelligent car. The actual
running distance is reduced by about 16%, which can ensure the practicability
of the obstacle avoidance system, provide a new guarantee for the safe
operation of the car, and also provide a new idea for the development of the
unmanned car.
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