摘要
大学生方程式赛车(FSC)驾驶员的操作舒适性对保证赛车可靠性、提高比赛成绩起着重要作用,但由于不同驾驶员的个体差异导致操作舒适性很难统一评价。针对这一问题,依据人机工程学理论,以FSC赛车驾驶员为人体模型样本,并考虑到人体关节复杂因素影响,应用模糊理论建立赛车驾驶员舒适性评价系统理论模型。在此基础上,以脚趾关节、踝关节、膝关节、臀关节、躯干关节、肩关节、肘关节、颈关节的舒适度加权和最大为目标,运用遗传算法对各关节的最舒适角度进行全局优化匹配。结果表明:评价结果与人体实际舒适性结果基本一致。这将为乘用车的驾驶舒适性开发提供理论借鉴。
The operation comfort of Formula Student China（FSC） driver plays an important role in ensuring the reliability of the car and improving the performance of the race,however,due to the individual differences of different drivers,it is difficult to unify the evaluation of operating comfort.According to the theory of ergonomics and taking into account the impact of complex human joint factors of FSC driver,using fuzzy inference to establish racing driver comfort evaluation system.The maximum weighted sum of the comfort degree of the joints of the toe joint,ankle joint,knee joint,hip joint,shoulder joint,shoulder joint,elbow joint and neck joint was seen as the goal,and the genetic algorithm is used to optimize and match the most comfortable angle of each joint.The results show thatthe evaluation results are consistent with the actual comfort of the driver,and the research methods have positive effects on the development of the driving comfort of passenger cars in the future.
作者
张东剑
马其华
任洪娟
陶超
ZHANG Dongjian MA Qihua REN Hongjuan TAO Chao(College of Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201600, China Key Laboratory of High Performance Fibers ＆ Products, Ministry of Education, Donghua University, Shanghai 201620, China)
出处
《重庆理工大学学报（自然科学）》
CAS
2017年第9期22-28,共7页
Journal of Chongqing University of Technology：Natural Science
基金
高性能纤维及制品教育部重点实验室开放课题资助项目(E2-6203-16-09-(2016)NO.2)
关键词
舒适性
模糊推理
评价体系
遗传算法
优化匹配
comfort
fuzzy inference
evaluation system
genetic algorithm
optimize and match
