摘要
自适应巡航控制跟随模式的研究是一个非常复杂的问题 ,大量试验分析及理论推导表明 ,传统的寻优控制方法难以获得满意的结果。该文介绍了自适应巡航控制及跟随模式的功能 ,根据模糊神经网络控制理论 ,详细分析了自适应巡航控制跟随模式下的距离控制 ,构造了适宜的五层模糊神经网络 ,对汽车自适应巡航控制跟随模式进行了仿真建模 ,推导了相应BP算法公式 ,并利用相关资料在Matlab环境下进行了仿真试验。分析结果表明 。
It is a very complex problem to study following mode in adaptive cruise control. Numerous test analyses and theoretical deductions prove that traditional methods in optimal control are not satisfactory. This paper introduced the functions of adaptive cruise control and following mode. It analyzed distance control according to the following mode of adaptive cruise control in detail based on the theory of FNN(fuzzy-neural network) control. It designed a proper 5-layer FNN. Then it gave out the final expression working on BP method and made an simulation modeling for adaptive cruise control on cars. In it, a simulation test based on related data has been made in Matlab. Its result proves that the author's attempt of this study can achieve satisfactory effect.
出处
《计算机仿真》
CSCD
2004年第9期164-166,共3页
Computer Simulation
关键词
仿真建模
自适应巡航控制
跟随模式
模糊神经网络
Simulation modeling
Adaptive cruise control
Following mode
Fuzzy-neural network
