基于EUKF模型的PMSG系统无速度传感器控制  

Sensorless Speed Control of PMSG Based on EUKF

作　　者：任丽娜[1] 双美佳 刘福才[1] REN Lina;SHUANG Meijia;LIU Fucai(Institute of Electrical Engieering,Yanshan University,Qinhuangdao 066004,Hebei,China)

机构地区：[1]燕山大学电气工程学院

出　　处：《电气传动》2019年第8期80-85,共6页Electric Drive

基　　金：国家自然科学基金(61304JD25);河北省自然科学基金(F2014203234);燕山大学博士基金(B801)

摘　　要：针对无速度传感器永磁同步发电机(PMSG)系统存在电阻摄动的问题,提出了基于增广无迹卡尔曼滤波(EUKF)模型的端口受控哈密尔顿(PCH)无源控制策略。首先建立含有电阻摄动的永磁同步发电机(PMSG)系统模型,运用PCH无源控制理论设计控制律实现系统最大风能捕获。然后将系统模型转化为由系统状态与定子电阻摄动参数组成的增广无迹卡尔曼(EUKF)模型,运用EUKF算法同时估计系统状态和电阻不确定参数,将估计结果实时传递给控制器。最后通过仿真进行验证,结果表明,该方法相比传统无迹卡尔曼滤波算法(UKF)具有更强的鲁棒性。Considering the resistance perturbation of the permanent synchronous magnetic generator(PMSG) sensorlss speed controlled system,a novel passivity- based control based on extended unscented Kalman filtering (EUKF)and port- controlled Hamilton(PCH)model was proposed. Firstly,a PMSG system model with resistance perturbation was established,and the control law was designed by using PCH passive control theory to achieve maximum wind energy capture.Then,the system model was transformed into expanded unscented Kalman filte(r EUKF) model consisting of the system state and the stator resistance perturbation parameter. A nonlinear filter based on EUKF was designed to estimate the rotor speed and perturbation parameter simultaneously,the estimation results were transmitted to the controller in real time. Finally,the EUKF has better robust ability than traditional unscented Kalman filtering UKF for the PMSG system which is explored through system simulation with Matlab.

关 键 词：永磁同步发电机 端口受控哈密尔顿模型 无速度传感器控制 增广无迹卡尔曼转速估计 

分 类 号：TM46[电气工程—电器]