摘要
本文在标准遗传算法的基础上,提出基于稳定裕度的搜索空间收缩方法,提高了遗传算法的计算精度和收敛速度,定义个体拥挤度的概念,在搜索空间收缩前使种群按特定规律分布,最大程度地保证最优解包含在强解空间内。本文分析了电磁制动器电磁系统的结构及吸力计算方法,给出了电磁线圈参数优化的数学模型,并采用本文改进的遗传算法对其进行了优化,算例仿真表明,本文对遗传算法的改进有效、可行,对线圈优化后,其工作时的温升明显降低,制动器性能得到提高,和采用标准遗传算法进行优化获得的结果进行比较可见,改进遗传算法对于电磁线圈参数的优化问题具有寻优精度高,收敛速度快等优点。
Based on the Standard Genetic Algorithm（SGA）,search space contract method using stability margin is given in this paper,which can enhance the efficiency and precision of the basic method.The concept of individual crowding-distance that keeps diversity and dispersion of populations before the space contract is introduced,and the method guarantees the optimal result existing in the strong solution space.Then,we do some research on the geo-metrical structure and attraction force of electromagnetic system,give the mathematics optimization models of sole-noid coil,and carry out optimization on the parameters with the Improved Genetic Algorithm（IGA）.The simula-tion result shows that IGA is valid and feasible,the temperature rise reduces visibly after optimization using our IGA,and the performance of electromagnetic brake is improved.Compared with the optimal results with SGA,it is clear that IGA has the advantages of more precise and more rapid convergence for the optimal problem.
出处
《电工电能新技术》
CSCD
北大核心
2010年第4期40-43,75,共5页
Advanced Technology of Electrical Engineering and Energy
关键词
电磁制动器
参数优化
遗传算法
拥挤度
稳定裕度
空间收缩
solenoid coil
parameters optimization
genetic algorithm
crowding-distance
stability margin
con-tracting space
