Abstract：A wavelet neural network(WNN) model of flux linkage characteristic based on measured magnetization curves is presented for switched reluctance motors(SRM). A flux linkage measuring installation is setup by using a digital signal processor(DSP). The magnetization curves at different rotor positions are obtained by calculating flux linkage using a discrete method on an upper level computer. Then, a feed-forward neural network(FFNN) model of flux linkage characteristic is proposed. The commonly used Mexican hat wavelet is chosen as the activation function for hidden-layer neurons, and its parameters are determined by training the network with the descend gradient method. Simulation indicates that the proposed model has reduced error and improved generalization property. It shows some prospect on optimizing online control of SRM.
[1] Xia Changliang, Xue Mei, Chen Ziran．Adaptive PID control and on-line identification for switched reluctance motors based on BP neural network[C]. 2005 IEEE International Conference on Mechatronics and Automation, Canada, 2005, 4：1918-1922． [2] 夏长亮, 王明超, 史婷娜, 等．基于神经网络的开关磁阻电机无位置传感器控制[J]．中国电机工程学报, 2005, 25(13)：123-128． Xia Changliang, Wang Mingchao, Shi Tingna, et al．Position sensorless control for switched reluctance motors using neural network[J]．Proceedings of the CSEE, 2005, 25(13)：123-128． [3] Tang Y, Kline J A．Modeling and design optimization of switched reluctance machine by boundary element analysis and simulation[J]. IEEE Transactions on Energy Conversion, 1996, 11(4)：673-680． [4] Parreira B, Rafael S, Pires A J, et al. Obtaining the magnetic characteristics of an 8/6 switched reluctance machine: from FEM analysis to the experimental tests[J]．IEEE Transactions on Industrial Electronics, 2005, 52(6)：1635-1643． [5] Krishnan R, Materu P．Measurement and instrumentation of a switched reluctance motor[C]．IEEE Industry Applications Society Annual Meeting, San Diego, CA, USA, 1989, 1：116-121． [6] Ray W F, Erfan F．A new method of flux or inductance measurement for switched reluctance motors[C]. Proceedings of 5th International Conference on Power Electronics and Variable-Speed Drives, London, UK, 1994: 137-140． [7] Chancharoensook P, Rahman M F．Magnetization and static torque characterization of a four-phase switched reluctance motor：experimental investigations[C]. Proceedings of International Conference on Power Electronics and Drives Systems(PEDS), Denpasar, Indonesia, 2001, 2：456-460． [8] 曹家勇, 周祖德, 陈幼平, 等．开关磁阻电动机特性检测与参数辨识方法研究[J]．电工技术学报, 2004, 19(11)：25-30． Cao Jiayong, Zhou Zude, Chen Youping, et al. Methods of characteristic measurement and model parameter identification for switched reluctance motors[J]. Transactions of China Electronical Society, 2004, 19(11)：25-30． [9] Wang S C, Chen W S, Liao W B, et al．A PC-based measurement system for determining magnetic characteristics of switched reluctance motors[C]. Power Con. 2002, Kunming, China, 2002, 4：2256- 2260． [10] Stephenson J M, Corda J．Computation of torque and current in double salient reluctance motors with nonlinear magnetization data[J]．IEE Proceedings, 1979, 126(5)：393-396． [11] Ilic’ Spong M, Marino R, Peresada S, et al．Feedback linearizing control of switched reluctance motors[J]. IEEE Transactions on Automation Control, 1987, 32(5)：371-379． [12] 夏长亮, 王明超．基于RBF神经网络的开关磁阻电机单神经元PID控制[J]. 中国电机工程学报, 2005, 25(15)：162-165． Xia Changliang, Wang Mingchao．Single neuron PID control for switched reluctance motors based on RBF neural network[J]．Proceedings of the CSEE, 2005, 25(15)：162-165． [13] 纪良文, 蒋静坪, 何峰, 等．基于径向基函数神经网络的开关磁阻电机建模[J]．电工技术学报, 2001, 16(4)：7-11． Ji Liangwen, Jiang Jingping, He Feng, et al．Modeling of switched reluctance motors based on radial basis function neural networks[J]．Transactions of China Electronical Society, 2001, 16(4)：7-11． [14] 郑洪涛, 蔡际令, 蒋静坪．基于变结构模糊神经网络的开关磁阻电动机非线性模型[J]．电工技术学报, 2001, 16(6)：1-6． Zheng Hongtao, Cai Jiling, Jiang Jingping．Nonlinear modeling of switched reluctance motors based on variable structure fuzzy-neural networks[J]. Transac- tions of China Electronical Society, 2001, 16(6)：1-6． [15] 史婷娜, 田洋, 夏长亮．基于小波网络的永磁无刷直流电机无位置传感器控制[J]．天津大学学报, 2007, 40(2)：190-194． Shi Tingna, Tian Yang, Xia Changliang．Position sensorless control based on wavelet neural network for PM brushless DC motors[J]．Journal of Tianjin University, 2007, 40(2)：190-194．
2011, Vol. 26 
