摘要
文章运用自然坐标法建立了赛车悬架转向杆系的运动学模型,推导了约束方程,给出了赛车转向时车轮偏转角度和轮胎上下跳动时前束值的计算方法;采用加权合并法,建立了综合考虑赛车轮胎磨损、运动协调性和机动性的非线性优化目标函数,并提出了一种GA-PSO(Genetic Algorithm-Particle Swarm Optimization)混合算法进行求解。针对特定赛车进行了优化设计,优化结果表明了该方法是有效的。
By using the natural coordinates method, a kinematical model of suspension and steering linkages in racing car was established. The constraint equations of this system were deduced. The calculation method of both the wheel steering angle during cornering and the toe caused by wheel bouncing was given. By using the weighted combination method, a nonlinear optimization object function was established, which took the tire wear, motion compatibility and mobility into account. Then a hybrid algorithm of genetic algorithm-particle swarm optimization （GA-PSO） was put forward to solve the problem. Finally, the effectiveness of the pro- posed method was verified by an example of a racing car.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2016年第7期887-891,共5页
Journal of Hefei University of Technology：Natural Science
基金
合肥工业大学产学研校企合作资助项目(W2014JSKF0458)
关键词
自然坐标法GA-PSO混合算法
悬架转向
优化设计
赛车
natural coordinates method
hybrid algorithm of genetic algorithm-particle swarm optimi-zation （GA-PSO）
suspension and steering
optimization design
racing car
