摘要
针对传统设计方法无法获得最佳蜗杆传动方案的问题,建立了蜗杆传动多目标优化设计模型;提出了基于粒子群优化算法(particle swarm optimization,PSO)和模糊理论的多目标优化问题求解策略,并进行了算例验证。算例结果表明:蜗杆传动多目标优化设计模型综合考虑了制造成本、体积、传动效率及润滑性能等因素,更符合工程实际情况;PSO与模糊理论相结合的多目标优化求解算法收敛速度快,可以获得多目标优化问题的全局最优解;基于PSO算法和模糊理论的蜗杆传动多目标优化设计方法比传统设计方法更合理、更高效。
A multi-objective optimization design model of worm transmission was established.Then,the algorithm based on particle swarm optimization（PSO） and fuzzy theory was developed to solve the multi-objective optimization problem.Validation by examples was conducted.The results show that the multi-objective optimization design model of worm transmission is more practical than the traditional model by comprehensive consideration of the manufacturing cost,structure,volume and transmission efficiency;the optimization algorithm based on PSO and fuzzy theory has the advantage of rapid convergence and good global search capability;multi-object optimal design approach based on PSO and fuzzy theory for worm transmission is more reasonable and efficient than the traditional design.1 tab,1 fig,15 refs.
出处
《长安大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第3期100-105,共6页
Journal of Chang’an University(Natural Science Edition)
基金
国家自然科学基金项目(11202036)
陕西省自然科学基金青年项目(2012JQ1008)
教育部创新团队项目(IRT1050)
关键词
机械工程
蜗杆传动
多目标优化设计
粒子群优化算法
模糊理论
mechanical engineering
worm transmission
multi-objective optimization
particle swarm optimization algorithm
fuzzy theory
