• CN:11-2187/TH
  • ISSN:0577-6686

›› 2001, Vol. 37 ›› Issue (7): 79-81.

• 论文 • 上一篇    下一篇

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采用遗传算法的新型节能电磁换向阀的优化设计

李松晶;鲍文;王莹;许耀铭   

  1. 哈尔滨工业大学机电工程学院
  • 发布日期:2001-07-15

OPTIMAL DESIGN OF NEW TYPE ENERGY-SAVING SOLENOID DIRECTIONAL CONTROL VALVE USING GENETIC ALGORITHM

Li Songjing;Bao Wen;Wang Ying;Xu Yaoming   

  1. Harbin Institute of Technology
  • Published:2001-07-15

摘要: 采用遗传算法对文献新型节能电磁换向阀进行了优化设计,给出了优化设计数学模型和优化结果,并对采用遗传算法和改进遗传算法进行优化设计获得的结果进行了比较,结果表明遗传算法更适合于求解新型节能电磁换向阀的优化问题。

关键词: 电磁换向阀, 遗传算法, 优化设计

Abstract: Genetic algorithm is now being used widely in optimal design of all kinds of components because it can solve the multi-minimum optimal problem much better than the traditional optimal design methods. As new type energy-saving valve is made up of permanent magnet and electro-magnet, the optimal design problem is a complex multi-minimum problem. Traditional optimal design method is not suitable to solve such kind of problems. Thus genetic algorithm is used to solve the optimal design problem of new type valve. Mathematics model of optimal design is introduced and optimal results are given. The optimal design results using genetic algorithm are compared with traditional optimal results, Comparison shows that genetic algorithm is more suitable than traditional optimal methods to solve the problem of new type energy-saving solenoid directional control valve.

Key words: Genetic algorithm, Optimal design, Solenoid directional control valve

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