汽车自动巡航系统智能控制策略

Intelligent control strategy of automobile cruise system

为了在汽车巡航控制中实现车距控制,在汽车模型及其工作原理的基础上,建立了基于模糊控制理论的基本控制策略和利用神经元修正的车距智能控制的方案,并设计了模糊控制和单神经元的控制策略,以基本的模糊控制和神经元修正模块组成车距控制控制器,根据汽车行驶的目标距离和实际距离之间的偏差和速度大小来调整控制参数,采用神经元控制对模糊决策得出的输出控制量进行加权修正。仿真结果表明了所设计的智能控制策略的可行性和有效性。

Base on the dynamic model and the working element of the automobile cruise control system, which consists of a distance controller for automobile and a speed sensor and a laser rangefinders, a scheme of intelligent control is established .By using fuzzy logic theory and single neuron theory, an intelligent control scheme was developed in this paper to realize the automation of the distance control in an automobile cruise. The strategy is composed of a basic fuzzy control strategy, which sets accelerograph of engine according to the error for distance and differential of the error, and a single neuron modification module, in which the modifying output is used to adapt the control strategy to changed condition when automobile is on the road. The intelligent control strategy is designed and driving case is simulated. The simulation results show that the intelligent strategy is effective and feasible.