基于粒子群算法的直线感应电机优化设计  

Optimization Design of Linear Induction Motor Based on Particle Swarm Algorithm

作　　者：喻晓[1] 林荣文[1] 吴冠平[1] 

机构地区：[1]福州大学电气工程与自动化学院,福建福州350108

出　　处：《电机与控制应用》2011年第11期11-15,共5页Electric machines & control application

摘　　要：介绍了直线感应电机的工作原理和电磁计算程序,采用引入惯性权重的粒子群优化算法,以直线感应电机功率因数和同步效率的乘积为优化目标函数,对电机的初级叠片厚度、初级槽深、初级槽宽、槽口宽和气隙大小进行优化。通过MATLAB软件编程运算,得出优化后的目标函数值与参数值,与优化前比较,有效实现了电机功率因数和同步效率的提高。The working principle and electromagnetic calculation of linear induction motor were introduced. Considering power factor and synchronous efficiency as optimal objective function, using particle swarm optimization algorithm with inertia weigh to optimize the primary laminated thickness, primary groove depth, primary slot width slit width, and air gap size. After MATLAB software programming operation, there were new objective function values and parameter values. Compared with the previous, the power factor and synchronous efficiency have been improved.

关 键 词：直线感应电机 粒子群算法 优化设计 

分 类 号：TM302[电气工程—电机] TM343