摘要
混沌同步是当代非线性与控制学科中的一个热点问题。针对永磁同步电动机中混沌同步,反馈反同步法在整定反馈增益矩阵参数时存在困难,利用量子遗传算法对反馈增益矩阵进行参数优化,从而克服反馈增益中参数不易整定的缺陷。数值仿真实验表明,利用量子遗传算法结合反馈反同步法能够使初始状态不同、运动轨迹不同的两个混沌系统在短时间内迅速达到同步,可以是系统达到很好的动态特性,验证了该方法的有效性,对电动机运动的稳定性具有较好的价值。
The nonlinear chaoctic synchronization is a hot issue in the contemporary nonlinear control subject. Forthe permanent magnet synchronous motor has difficulty of chaos synchromzation in tuning in the feed back gain matrixparameter of feed back anti synchronization method,quantum genetic algorithm can be used to optimize the parame-ters of feed back gain matrix and to overcome tuning defects of the feed back gain parameters. Numerical simulationsshow that quantum genelic algorithm combined with feed back anti synchronization method enables two different cha-otic systems with the different initial states and different trajectories to achieve synchromatization in a short time. Thesystem can achieve excellent dynamic charactiristic and verify the method effectiveness. It has good value in stabilityof the motor motion.
出处
《电子器件》
CAS
北大核心
2016年第5期1251-1254,共4页
Chinese Journal of Electron Devices
基金
新疆工程学院科研基金项目(2014xgy191612)
关键词
永磁同步电动机
混沌同步
量子遗传算法
反馈反同步
PMSM
chaotic synchronization
quantum genetic algorithm
feedback anti-synchronization
