基于变系数电感模型开关磁阻电机四象限无位置传感器技术

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (1465 KB)
输出: BibTeX | EndNote (RIS)

摘要开关磁阻电机相电感具有明显的非线性,随饱和情况不同相电感形状发生明显变化。研究了忽略三次以上谐波电感模型系数随电流变化关系,提出了基于变系数电感模型的无位置传感器控制策略。利用电机变系数电感与转子位置角度之间的关系,构建了基于DSP数字信号处理器的四象限无位置传感器控制系统。采用软件完成了上述转子位置估计模块,实现对开关磁阻电机的无位置控制。通过实验对该方法的可行性进行了验证,结果表明该方法估计转子位置精确、象限间切换准确可靠,系统具有良好的静态和动态性能。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	蒯松岩
	王鹏飞
	成静红
	谭国俊
	刘送永

关键词 ：开关磁阻电机, 无位置传感器, 变系数电感模型, 四象限

Abstract：The phase inductance of switch reluctance motor is seriously nonlinear. This paper researches the relationship between inductance model coefficient that ignored more than three times harmonic and current, and proposes an estimation method of rotor position based on the variable coefficient inductance model. Using the relationship between variable coefficient inductance and the rotor position, this paper constructs the four-quadrant control system without position sensor and verifies the strategy. In this paper, DSP digital signal processing system is designed. By using the software, it achieves the control of switched reluctance motor. The feasibility of the proposed method is verified by the experiments. Experiments results indicate that the proposed method estimates rotor position accurately and switching between quadrants is reliable, and the system has good static and dynamic performance.

Key words： SRM sensorless variable coefficient inductance model four-quadrant

收稿日期: 2013-04-17 出版日期: 2014-08-05

PACS:

TM315

基金资助:中国博士后科学基金资助项目(20100481176)

作者简介: 蒯松岩男,1978年生,博士,研究方向为开关磁阻电机及其控制。王鹏飞男,1988年生,硕士研究生,研究方向为开关磁阻电机及其控制。

引用本文:

蒯松岩, 王鹏飞, 成静红, 谭国俊, 刘送永. 基于变系数电感模型开关磁阻电机四象限无位置传感器技术[J]. 电工技术学报, 2014, 29(7): 114-124. Kuai Songyan, Wang Pengfei, Cheng Jinghong, Tan Guojun, Liu Songyong. Four-Quadrant Position Sensorless Technology of Switched Reluctance Motors Based on Variable Coefficients Inductance Model. Transactions of China Electrotechnical Society, 2014, 29(7): 114-124.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2014/V29/I7/114

[1] Krishnan R. Switched reluctance motor drives: modeling, simulation, analysis, design and applications [M]. Boca Raton, FL: CRC Press, 2001.
[2] Ehsani M, Fahimi B. Elimination of position sensors in switched reluctance motor drives: state of the art and future trends[J]. IEEE Transactions on Industrial Electronics, 2002, 49(1): 40-47.
[3] 吴红星, 倪天, 郭庆波, 等. 开关磁阻电机转子位置检测技术综述（一）[J]. 微电机, 2011, 44(3): 76-83. Wu Hongxing, Ni Tian, Guo Qingbo, et al. Summary of detecting rotor position technique for switched reluctance motors[J]. Micro Motors, 2011, 44(3): 76-83.
[4] Gallegos L G, Kjaer P C, Miller T J E. High-grade position estimation for SRM drives using flux linkage/current correction model[J]. IEEE Transactions on Industry Applications, 1998, 34(4): 859-869.
[5] Koblara T, Sorandaru C, Musuroi S, et al. A low voltage sensorless switched reluctance motor drive using flux linkage method[C]. International Conference on Optimization of Electrical and Electronic Equipment, 2010: 665-672.
[6] Lyons J P, MacMinn S R, Preston M A. Flux-current methods for SRM rotor position estimation[C]. Conference Record of the IEEE Annual Meeting on Industry Applications Society, 1991: 482-487.
[7] 邱亦慧 , 詹琼华 , 马志源, 等 . 基于简化磁链法的开关磁阻电机间接位置检测[J]. 中国电机工程学报, 2001, 21(10): 59-62. Qiu Yihui, Zhan Qionghua, Ma Zhiyuan, et al. The indirect position sensing of SRM on the basis of simplified flux method[J]. Proceedings of the CSEE, 2001, 21(10): 59-62.
[8] Tan Guojun, Ma Zhenglan, Kuai Songyan, et al. Four-quadrant position sensorless control in switched reluctance motor drives based on sliding mode obverser[C]. International Conference on Electrical Machines and System, 2009: 1-5.
[9] Islam M S, Husain I, Veillette R J, et al. Design and performance analysis of sliding-mode observers for sensorless operation of switched reluctance motors[J]. IEEE Transactions on Control Systems Technology, 2003, 11(3): 383-389.
[10] Elmas C, Parra H Z L. Application of a full-order extended Luenberger observer for a position sensorless operation of a switched reluctance motor drive[C]. IEE Proceedings of Control Theory and Applications, 1996: 401-408.
[11] Jain A K, Mohan N. Dynamic modeling, experimental characterization, and verification for SRM operation with simultaneous two-phase excitation[J]. IEEE Transactions on Industrial Electronics, 2006, 53(4): 1238-1249.
[12] Desai P C, Krishnamurthy M, Schofield N, et al. Novel switched reluctance machine configuration with higher number of rotor poles than stator poles: concept to implementation[J]. IEEE Transactions on Industrial Electronics, 2010, 57(2): 649-659.
[13] 蔡燕, 许镇琳, 高超. 基于神经网络非线性模型的开关磁阻电机调速系统动态仿真[J]. 电工技术学报, 2006, 21(8): 25-30. Cai Yan, Xu Zhenlin, Gao Chao. Simulation of SRD based on neural net nonlinear model[J]. Transactions of China Electrotechnical Society, 2006, 21(8): 25-30.
[14] 纪良文, 蒋静坪, 何峰. 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. Modeling of switched reluctance motors based on radial basis function neural network[J]. Transactions of China Electrotechnical Society, 2001, 16(4): 7-11.
[15] Misawa S, Miura Y, Miki I. A rotor position estimation for 3-phase switched reluctance motor based on complex plane expression[C]. International Conference on Electrical Machines and Systems (ICEMS), Japan, 10-13 Oct, 2010.
[16] Cai Jun, Deng Zhiquan. Sensorless control of switched reluctance motor based on phase inductance vectors[J]. IEEE Transactions on Power Electronics, 2012, 27(7): 3410-3423.
[17] Misawa S, Kawasaki. A rotor position estimation using Fourier series of phase inductance for switched reluctance motor[C]. 2010 International Symposium on Power Electronics Electrical Drives Automation and Motion(SPEEDAM), Japan, 14-16 June, 2010.
[18] 周竟成, 王晓琳, 邓智泉, 等. 开关磁阻电机的电感分区式无位置传感器技术[J]. 电工技术学报, 2012, 27(7): 34-40. Zhou Jingcheng, Wang Xiaolin, Deng Zhiquan, et al. The position sensorless technology of switched reluctance motor based on the regional comparison of three-phase inductance[J]. Transations of China Electrotechnical Society, 2012, 27(7): 34-40.