基于演化策略的汽车操纵稳定性主客观评价的灰关联性研究

STUDY ON GREY RELATIONSHIPBETWEEN OBJECTIVE ANDSUBJECTIVE EVALUATION OF MOTORVEHICLE MANEUVERABILITY ANDSTABILITY BASED ON GENETICALGORITHMS

利用演化算法与灰关联分析相结合的方法研究了汽车操纵稳定性主客观评价的灰关联性问题。通过仿真试验研究表明:一方面,可利用提出的方法得到的评价公式对整车参数进行再设计或优化设计,并且使这样得到的汽车操纵稳定性更符合人的感觉;另一方面,基于演化策略的主客观评价的灰关联分析可以对主观评价者的评价侧重点进行分析,了解人们对车质性能好坏的评价取向和依据。

The grey relationship between the objective and subjective evaluation of motor vehicle maneuverability and stability is studied based on genetic algorithms and grey relation analysis. The research result of the simulation experiment states that the evaluation formula given by genetic algorithms and grey relation analysis can be used in the optimum design of vehicle parameters that make vehicle maneuverability and sta-bility to be more suitable for human's feeling. It also states that the key point to which the subjective evaluation driver pays attention during the evaluation process can be discovered by this simulation.