节点文献
扩展卡尔曼滤波法在12相发电机定子参数辨识中的应用
Application of EKF for Stator Parameters Identification of 12 Phase Generator
【摘要】 利用新型电源12相发电机精确的数学模型,得到其离散状态空间方程,在此基础上,应用扩展卡尔曼滤波算法首次实现了其定子参数辨识。利用PSCAD和MATLAB软件分别实现了电机的仿真与辨识;辨识程序分无噪声和有噪声2种情况,且2种情况辨识结果误差均控制在9%以内,证明了此方法的有效性。
【Abstract】 By the mathematical model of a new power supply:12 phase generator,its discrete-time state space equation was obtained,and by application of EKF,12 phase generator stator parameters identification was achieved.Using PSCAD and MATLAB software,simulation and identification of the generator was implemented.Under the two conditions of noise-free and noise,the results indicate the effectivity of the method.
【关键词】 12相发电机;
扩展卡尔曼滤波;
参数辨识;
【Key words】 12 phase generator; Extended Kalman Filter(EKF); parameter identification;
【Key words】 12 phase generator; Extended Kalman Filter(EKF); parameter identification;
- 【文献出处】 湖北汽车工业学院学报 ,Journal of Hubei Automotive Industries Institute , 编辑部邮箱 ,2009年03期
- 【分类号】TM31
- 【被引频次】2
- 【下载频次】95