A Speed Estimation Method of Fuzzy Extended Kalman Filter for Induction Motors Based on Particle Swarm Optimization
Yin Zhonggang1,2, Xiao Lu1, Sun Xiangdong1, Liu Jing1, Zhong Yanru1
1. Department of Electrical Engineering Xi’an University of Technology Xi’an 710048 China; 2. State Key Lab of Electrical Insulation and Power Equipment Xi’an Jiaotong University Xi’an 710049 China
Abstract：This paper presents a speed estimation method of particle swarm optimization fuzzy extended Kalman filter (PFEKF) for induction motors, to weaken the impacts of priori measurement noise model on the estimation accuracy of extended Kalman filter (EKF). The proposed algorithm modifies the measurement noise covariance of EKF recursively and chooses a fuzzy factor to make its noise model close to real noise model adaptively, based on PSO fuzzy controller which monitors the degree of divergence (DOD) parameters. Accordingly the optimal estimation is realized, and the impacts of system performance under gross external error and unknown measurement noises are weakened. Simulation and experimental results verify the proposed method for induction motors.
尹忠刚, 肖鹭, 孙向东, 刘静, 钟彦儒. 基于粒子群优化的感应电机模糊扩展卡尔曼滤波器转速估计方法[J]. 电工技术学报, 2016, 31(6): 55-65.
Yin Zhonggang, Xiao Lu, Sun Xiangdong, Liu Jing, Zhong Yanru. A Speed Estimation Method of Fuzzy Extended Kalman Filter for Induction Motors Based on Particle Swarm Optimization. Transactions of China Electrotechnical Society, 2016, 31(6): 55-65.
[1] Orlowska-Kowalska T, Dybkowski M. Stator-current- based MRAS estimator for a wide range speed- sensorless induction-motor drive[J]. IEEE Transation on Industrial Electronics, 2010, 57(4): 1296-1308. [2] 路强, 沈传文, 季晓隆, 等. 一种用于感应电机控制的新型滑模速度观测器研究[J]. 中国电机工程学报, 2006, 26(18): 164-168. Lu Qiang, Shen Chuanwen, Ji Xiaolong, et al. A novel sliding-mode observer for speed-sensorless induction motors[J]. Proceedings of the CSEE, 2006, 26(18): 164-168. [3] Etien E, Chaigne C, Bensiali N. On the stability of full adaptive observer for induction motor in regenerating mode[J]. IEEE Transactions on Indu- strial Electronics, 2010, 57(5): 1599-1608. [4] 郑泽东, 李永东, Fadel M. 采用Kalman滤波器进行信号处理的高频信号注入法在电动机控制中的应用[J]. 电工技术学报, 2010, 25(2): 54-66. Zheng Zedong, Li Yongdong, Fadel M. Application of high frequency signal injection method in motor control using Kalman filter for signal processing[J]. Transactions of China Electrotechnical Society, 2010, 25(2): 54-66. [5] 张猛, 肖曦, 李永东. 基于扩展卡尔曼滤波器的永磁同步电机转速和磁链观测器[J]. 中国电机工程学报, 2007, 27(36): 37-40. Zhang Meng, Xiao Xi, Li Yongdong. Speed and flux linkage observer for permanent magnet synchronous motor based on EKF[J]. Proceedings of the CSEE, 2007, 27(36): 37-40. [6] Barut M, Bogosyan S, Gokasan M. Experimental evaluation of braided EKF for sensorless control of induction motors[J]. IEEE Transactions on Industrial Electronics, 2008, 55(2): 620-632. [7] 陈振锋, 钟彦儒, 李洁, 等. 基于改进磁链观测器的感应电机转速辨识[J]. 电工技术学报, 2012, 27(4): 42-47. Chen Zhenfeng, Zhong Yanru, Li Jie, et al. Speed identification for induction motor based on improved flux observer[J]. Transactions of China Electro- technical Society, 2012, 27(4): 42-47. [8] Ran Zhengyun, Li Huade, Chen Shujin. Application of optimized EKF in direct torque control system of induction motor[C]//First International Conference on Innovative Computing, Information and Control, 2006: 331-335. [9] Barut M, Bogosyan S, Gokasan M. EKF based sensorless direct torque control of IMs in the low speed range[C]//IEEE Proceedings of the Inter- national Symposium on Industrial Electronics, 2005: 969-974. [10] Liu Haipeng, Zhang Qingfan. Research on a modified EKF for speed estimation in induction motor drives[C]//IEEE International Conference on Integr- ation Technology, 2007: 432-436. [11] Leite A V, Araujo R E, Freitas D. Full and reduce order extended Kalman filter for speed estimation in induction motor drives: a comparative study[C]//35th Annual Power Electronics Specialists Conference, 2004: 2293-2299. [12] 刘英培, 万健如, 梁鹏飞. 基于扩展卡尔曼滤波器和空间电压矢量调制的永磁同步电机直接转矩控制[J]. 中国电机工程学报, 2009, 29(27): 67-74. Liu Yingpei, Wan Jianru, Liang Pengfei. Direct torque control for permanent magnet synchronous motor drive based on extended Kalman filter and space vector modulation[J]. Proceedings of the CSEE, 2009, 29(27): 67-74. [13] 陈振, 刘向东, 靳永强, 等. 采用扩展卡尔曼滤波磁链观测器的永磁同步电机直接转矩控制[J]. 中国电机工程学报, 2008, 28(33): 75-81. Chen Zhen, Liu Xiangdong, Jin Yongqiang, et al. Direct torque control of permanent magnet syn- chronous motors based on extended Kalman filter observer of flux linkage[J]. Proceedings of the CSEE, 2008, 28(33): 75-81. [14] 张勇军, 王京, 李华德. 基于遗传算法优化的定子磁链扩展卡尔曼估计方法[J]. 电工技术学报, 2009, 24(9): 64-70. Zhang Yongjun, Wang Jing, Li Huade. A method of the stator flux EKF estimation for induction motors based on genetic algorithm optimizing[J]. Transa- ctions of China Electrotechnical Society, 2009, 24(9): 64-70. [15] Andriamalala R N, Razik H, Razafinjaka J N, et al. Independent and direct rotor-flux oriented control of series-connected induction machines using decou- pled Kalman-filters[C]//37th IEEE Annual Con- ference on Industrial Electronics Society, 2011: 3488-3494. [16] 郭鸿浩, 周波, 刘颖, 等. 永磁无刷直流电机角加速度估计[J]. 电工技术学报, 2014, 29(5): 93-103. Guo Honghao, Zhou Bo, Liu Ying, et al. Angular acceleration estimationfor a permanent magnet brushless DC motor[J]. Transactions of China Electro- technical Society, 2004, 29(5): 93-103. [17] Sasiadek J Z, Wang Q, Zeremba M B. Fuzzy adaptive Kalman filtering for INS/GPS data fusion[C]//IEEE Proceedings of the International Symposium, 2000: 181-186. [18] Escamilla-Ambrosio P J, Mort N. Multi-sensor data fusion architecture based on adaptive Kalman filters and fuzzy logic performance assessment[C]//Pro- ceedings of the Fifth International Conference, 2002: 1542-1549. [19] 王坚, 许长辉, 高井祥. GPS/GALLIEO导航系统的抗差EKF模型研究[J]. 测绘科学, 2009, 34(6): 59-61. Wang Jian, Xu Changhui, Gao Jingxiang. Study on GPS/GALLIEO navigation model based on robust EKF[J]. Science of Surveying and Mapping, 2009, 34(6): 59-61. [20] Shi E. An improved real-time adaptive Kalman filter for low-cost integrated GPS/INS navigation[C]// Measurement, Information and Control (MIC), 2012: 1093-1098. [21] EI Madbouly E E, Abdalla A E, EI Banby G M. Fuzzy adaptive Kalman filter for multi-sensor system[C]// International Conference on Networking and Media Convergence, 2009: 141-145. [22] Reina G, Vargas A, Nagatani K, et al. Adaptive Kalman filtering for GPS-based mobile robot localization[C]//IEEE International Workshop on Safety, Security and Rescue Robotics, 2007: 1-6. [23] Jwo D J, Wang S H. Adaptive fuzzy strong tracking extended Kalman filtering for GPS navigation[J]. Sensors Journal, 2007, 7(5): 778-789. [24] 肖志涛, 赵培培, 李士心. 基于INS/GPS组合导航的自适应模糊卡尔曼滤波[J]. 中国惯性技术学报, 2010, 18(2): 195-200. Xiao Zhitao, Zhao Peipei, Li Shixin. Adaptive fuzzy Kalman filter based on INS/GPS integrated navi- gation system[J]. Journal of Chinese Inertial Tech- nology, 2010, 18(2): 195-200.
2016, Vol. 31 
