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一种四稳态数字执行器阵列的基因遗传优化设计

Optimal Design of a Digital Electromagnetic Actuator Array Using Genetic Algorithm
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摘要 为了满足四稳态数字电磁执行器阵列具有稳定、独立性及均一性的紧凑化设计需求,提出了一种基于基因遗传算法的多目标优化设计方法。应用MATLAB建立了执行器阵列的静态磁场分析模型,并将其用于优化阵列,使用单目标遗传算法和多目标遗传算法分别对执行器阵列进行了优化并进行优化数据对比,最后确定了执行器阵列的最终优化设计参数。优化结果表明:与现有的执行器阵列相比,SRZ目标值提高了38.33%,IF目标值将低了5.78%,VF目标值降低了1.08%。 In order to satisfy the requirements for stability,independence and homogeneous design of a quad-stable digital electromagnetic actuator array,an optimization approach based on genetic algorithm has been proposed for the optimal design of the actuator array.An analytic model has been first created for static magnetic field analysis of the actuator array based on MATLAB software.Then,single-objective and multi-objective optimizations of the actuator array have been carried out respectively by using this model.The final optimal results have been analyzed and compared with the prototype design configuration.It has been observed that the three optimization objectives,namely Self-return zone,Interaction force and Vibration force,have been improved by 38.33%,5.78%and 1.08%respectively.
作者 呼延鹏飞 代海风 黄雨霖 李鹏超 HUYAN Pengfei;DAI Haifeng;HUANG Yulin;LI Pengchao(School of Mechanical and Electrical Engineering,Xi′an Polytechnic University,Xi′an 710600,China;Xi′an Modern Intelligent Textile Equipment Key Laboratory,Xi′an Polytechnic University,Xi′an 710600,China)
出处 《机械科学与技术》 CSCD 北大核心 2021年第8期1264-1271,共8页 Mechanical Science and Technology for Aerospace Engineering
基金 陕西省教育厅科研计划项目(19JK0366)。
关键词 数字执行器 四稳态 遗传算法 多目标优化 digital actuator quad-stable genetic algorithm multi-objective optimization
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