Distance Control Algorithm for Automobile Automatic Obstacle Avoidance and Cruise System

Abstract

With the improvement of automobile ownership in recent years, the incidence of traffic accidents constantly increases and requirements on the security of automobiles become increasingly higher. As science and technology develops constantly, the development of automobile automatic obstacle avoidance and cruise system accelerates gradually, and the requirement on distance control becomes stricter. Automobile automatic obstacle avoidance and cruise system can determine the conditions of automobiles and roads using sensing technology, automatically adopt measures to control automobile after discovering road safety hazards, thus to reduce the incidence of traffic accidents. To prevent accidental collision of automobile which are installed with automatic obstacle avoidance and cruise system, active brake should be controlled during driving. This study put forward a neural network based proportional-integral-derivative (PID) control algorithm. The active brake of automobiles was effectively controlled using the system to keep the distance between automobiles. Moreover the algorithm was tested using professional automobile simulation platform. The results demonstrated that neural network based PID control algorithm can precisely and efficiently control the distance between two cars. This work provides a reference for the development of automobile automatic obstacle avoidance and cruise system.

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