摘要
基于矢量矩的抗体浓度计算方法,其算法较基于信息熵的简单、收敛速度快.采用该方法对汽车四分之一悬架模型进行免疫控制研究.仿真结果表明:在阶跃和B级路面两种输入下,基于矢量矩的免疫控制策略对汽车主动悬架进行控制,其主要的性能评价指标———平顺性和操纵稳定性明显好于被动悬架的.
In contrast to information entropy, the algorithm method of antibody density based on vector distance is simple and the speed of convergence is fast. An immune control based on vector distance for active suspension with a quarter automobile model was proposed. Simulation results showed that the automotive ride comfort, maneuvering performance, and the evaluation value of active suspension with the immune controller were superior to passive suspension, under step road input and B level road input.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第4期46-49,71,共5页
Journal of Hunan University:Natural Sciences
基金
'985'工程二期项目资助
关键词
主动悬架
免疫算法
矢量矩
仿真
active suspension
immune algorithm
vector distance, simulation
