基于遗传算法的航空发电控制系统仿真研究  

Simulation of Aeroplane Generator Control System Based on Genetic Algorithm

作　　者：张学军[1] 陈永禄[2] 蒋占军[1] 郑丽英[1] 

机构地区：[1]兰州交通大学电子与信息工程学院,甘肃兰州730070 [2]中国飞行试验研究院航电所,陕西西安710089

出　　处：《兰州交通大学学报》2010年第6期83-86,共4页Journal of Lanzhou Jiaotong University

基　　金：甘肃省科技计划资助(0916RJZA052);高校基本业务费项目(620005);甘肃省教育厅研究生导师科研项目(0704-13)

摘　　要：通过对无刷双馈航空发电机结构和工作原理的分析,建立了无刷双馈电机基于转子机械速坐标的数学模型.在Matlab/Simulink环境下,建立了级联式无刷双馈直流电机双闭环控制系统仿真模型,采用基于实数编码的改进遗传算法对传统试凑法得出的转速环的准最优PI参数进行了优化,其适应度函数充分考虑了系统的误差及控制量.仿真结果表明:采用定子磁链定向矢量控制方法和策略,应用遗传算法可以快速得到控制模型的最优参数,使级联式无刷双馈航空电机在转速变化的情况下,保证发电系统输出恒频恒压三相交流电.The mathematical model for cascade brushless doubly-fed aeroplane generator is established by analyzing its structure and variable speed constant frequency electricity generating principle in this paper.Simultaneously,a simulation model of brushless Direct Current machine based on the above model is established in Matlab or Simulink development environment.Aiming at the defects of hypo-best PI parameters by conventional method of trial and error,the genetic algorithm based on real number coding is adopted to optimize the parameters of rotate speed whose fitness function considering sufficiently systemic error and control output.The simulation results show that the best PI parameters can be quickly educed by adopting the stator field orientation vector control theory and applying genetic algorithms.It can not only guarantee the power system output constant frequency and constant voltage of three-phase ac under the circumstances of speed changing but confirm the validity and effective of proposed control strategy.

关 键 词：变速恒频 无刷双馈 遗传算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]