臺灣博碩士論文加值系統

切換式磁阻馬達因定、轉子為雙凸極式及具高度磁路非線性，導致馬達在運轉時產生較大噪音及轉矩漣波。解決轉矩漣波方法有很多種，多數研究皆利用電流近似曲線，以降低轉矩漣波，但因磁路為非線性關係，導致控制器設計不易。因此，本研究利用模糊控制理論來設計模糊激磁控制器。此控制器設計簡單，可隨著切換式磁阻馬達轉速及轉矩誤差之大小不同，產生適當的導通角度及截止角度，來調整的激磁角度。此模糊激磁控制器可有效降低馬達轉矩漣波，進而改善轉矩響應。另外，本研究結合自調適模糊速度控制器及轉矩分配函數，應用在切換式磁阻馬達直接轉矩控制驅動系統中，使馬達轉矩及轉速有高性能的表現。
經由實驗結果證明，馬達轉速範圍在100 rpm~1600 rpm及負載為1 Nm啟動下，將模糊激磁控制器植入驅動系統中，實際轉矩在穩態時轉矩漣波較傳統控制器(固定激磁角度)所產生之轉矩連波有明顯的改善，特別是在低轉速下。由此可知，適當調整導通角度及截止角度在切換式磁阻馬達驅動響應上有相當大的影響。

Due to the stator and rotor poles are double saliency lead to higher torque ripple and significant acoustic noise in SRM. To reduce these disadvantages, many paper have reported current profile approaches to reduce the torque ripple, but the controller of SRM is hard to design cause that nonlinear flux linkage characteristics.
Design of fuzzy excitation controller was implemented in this study. The turn on and turn off angles are adjusted online according to torque error and speed error base on the fuzzy rules to reduce torque ripple in widely speed range. It is presented in order to effectively reduce the torque ripple, which improves the torque dynamic response of system. This proposed fuzzy excitation controller in DTC-based SRM control system with torque sharing strategy, which improves the torque dynamic response of system.
This proposed scheme was implemented on the dSPACE-DS1104 experimental platform for verifying the feasibility and effectiveness. From simulations and experimental results show that torque ripple in the stead state is reduced considerably with the fuzzy excitation controller than with traditional controller (constant excitation angle) in wide speed range (100-1600 rpm).

摘　要 i
ABSTRACT ii
誌謝 iv
目錄 v
表目錄 viii
圖目錄 ix
第一章 緒論 1
1.1 文獻探討 1
1.2 研究動機 2
1.3 研究目的 3
1.4 論文內容大綱 4
第二章 切換式磁阻馬達 5
2.1 前言 5
2.2 切換式磁阻馬達基本構造與特性 5
2.2.1 基本構造 5
2.2.2 馬達特性 6
2.3 切換式磁阻馬達數學模型 7
2.3.1 電壓與電流方程式 8
2.3.2 轉矩方程式 9
2.4 切換式磁阻馬達驅動原理 10
2.5 轉換器電路分析 15
2.6 馬達參數量測 18
2.7本章結論 21
第三章 模糊控制系統 22
3.1 前言 22
3.2 模糊理論基本原理 22
3.3 模糊控制系統設計 24
3.3.1 模糊化 24
3.3.2 知識庫 24
3.3.3 推論引擎 27
3.3.4 解模糊化 28
3.4 本章結論 28
第四章 模糊激磁控制器設計與系統模擬 29
4.1 前言 29
4.2 激磁控制器設計 30
4.3 切換式磁阻馬達直接轉矩控制驅動系統 32
4.3.1 模糊激磁控制器設計 32
4.3.2 自調適模糊速度控制器設計 37
4.3.3 轉矩分配函數 43
4.3.4 實際轉矩計算 44
4.3.5 換相機制與轉矩控制 46
4.3.6 電壓脈波寬度調變與轉換器 47
4.4 模擬結果 48
4.5 本章結論 51
第五章 切換式磁阻馬達直接轉矩控制系統實驗 52
5.1 前言 52
5.2 功率級轉換器與驅動電路 53
5.3 電流量測與過電流保護電路 54
5.4 實驗內容 56
5.5 實驗結果分析 57
5.6 本章結論 89
第六章 結論與未來研究方向 90
6.1 結論 90
6.2 未來研究方向 90
參考文獻 92
附錄 96
符號彙編 99
作者簡介 101

[1] R. Krishnan, Switched reluctance motor drives modeling simulation analysis design and applications, New York: CRC Press, 2001, pp. 1-167.
[2] T. J. E. Miller, "Electronic control of switched reluctance machines," IEEE Transactions on Power Electronics, vol. 16, no. 3, 2002, pp. 222-223.
[3] S. Mir, M. E. Elbuluk and I. Husain, "Torque-ripple minimization in switched reluctance motor using adaptive fuzzy control," IEEE Transactions on Industry Applications, vol. 35, no. 2, 1999, pp. 461-468.
[4] C. Mademlis and I. Kioskeridis, "Performance optimization in switched reluctance motor drive with online commutation angle control," IEEE Transactions on Energy Conversion, vol. 18, no. 3, 2003, pp. 448-457.
[5] Y. Sozer and D. A. Torrey, "Optimal turn-off angle control in the face of automatic turn-on angle control for switched-reluctance motors," IET Transactions on Electric Power Applications, vol. 1, no. 3, 2007, pp. 395-401.
[6] B. Fahimi, A. Emadi and Jr. B. Sepe, "Position sensorless control," IEEE Industry Applications Magazine, vol. 10, no. 1, 2004, pp. 40-47.
[7] L. O. de Araujo Porto Henriques, L. G. B. Rolim, W. I. Suemitsu, J. A. Dente and P. J. Costa Branco, "Development and experimental tests of a simple neurofuzzy learning sensorless approach for switched reluctance motors," IEEE Transactions on Power Electronics, vol. 26, no. 11, 2011, pp. 3330-3344.
[8] V. Vujicic and S. N. Vukosavic, "A simple nonlinear model of the switched reluctance motor," IEEE Transactions on Energy Conversions, vol. 15, no. 4, 2000, pp. 395-400.
[9] N. T. Shaked and R. Rabinovici, "Modeling of a 6/4 switched reluctance motor using adaptive neural fuzzy inference system," IEEE Transactions on Magnetics, vol. 44 , no. 7, 2008, pp. 1796-1804.
[10] N. K. Sheth and K. R. Rajagopal, "Torque profiles of a switched reluctance motor having special pole face shapes and asymmetric stator poles," IEEE Transactions on Magnetics, vol. 40, no. 4, 2004, pp. 2035-2037.
[11] Y. K. Choi, H. S. Yoon and C. S. Koh, "Pole-shape optimization of a switched-reluctance motor for torque ripple reduction," IEEE Transactions on Magnetics, vol. 43, no. 4, 2007, pp. 1797-1800.
[12] L. Guangjin, J. Ojeda, S. Hlioui, E. Hoang, M. Lecrivain and M. Gabsi, "Modification in rotor pole geometry of mutually coupled switched reluctance machine for torque ripple mitigating," IEEE Transactions on Magnetics, vol. 48, no. 6, 2012, pp. 2025-2034.
[13] K. Ha, C. Lee, J. Kim, R. Krishnan and S. G. Oh, "Design and development of low-cost and high-efficiency variable-speed drive system with switched reluctance motor," IEEE Transactions on Industry Applications, vol. 43, no. 3, 2007, pp. 703-713.
[14] J. Kim, K. Ha and R. Krishnan, "Single-controllable-switch-based switched reluctance motor drive for low cost, variable-speed applications," IEEE Transactions on Power Electronics, vol. 27, no. 1, 2012, pp. 379-387.
[15] H. Ishikawa, D. Wang and H. Naitoh, "A new switched reluctance motor drive circuit for torque ripple reduction," Proceedings of the 22th Power Conversion Conference, PCC, Osaka, 2002, pp. 683-688.
[16] M. Rodrigues, P. J. Costa Branco and W. Suemitsu, "Fuzzy logic torque ripple reduction by turn-off angle compensation for switched reluctance motors," IEEE Transactions on Industry Electronics, vol. 48, no. 3, 2001, pp. 711-715.
[17] A. M. Stankovic, G. Tadmor, Z. J. Coric and I. Agirman, "On torque ripple reduction in current-fed switched reluctance motor," IEEE Transactions on Industry Electronics, vol. 46, no. 1, 1999, pp. 177-183.
[18] J. Liang, D. H. Lee and J. W. Ahn, "Direct instantaneous torque control of switched reluctance machines using 4-level converters," IET Transactions on Electric Power Applications, vol. 3, no. 4, 2009, pp. 313-323.
[19] P. Chancharoensook, "Direct instantaneous torque control of a four-phase switched reluctance motor," IEEE Transactions on Power Electronics and Drive Systems, 2009, pp. 770-777.
[20] S. K. Sahoo, S. Dasgupta, S. K. Panda and J. X. Xu, "A Lyapunov function-based robust direct torque controller for a switched reluctance motor drive system," IEEE Transactions on Power Electronics, vol. 27, no. 2, 2012, pp. 555-564.
[21] M. S. Islam, T. Sebastian and I. Husain, "Fault-tolerant switched reluctance motor drive using adaptive fuzzy logic controller," IEEE Transactions on Power Electronics, vol. 19, no. 2, 2004, pp. 289-295.
[22] W. Shang, S. Zhao, Y. Shen and Z. Qi, "A sliding mode flux-linkage controller with integral compensation for switched reluctance motor," IEEE Transactions on Magnetics, vol. 45, no. 9, 2009, pp. 3322-3328.
[23] C. L. Tseng, S. Y. Wang, S. C. Chien and C. Y. Chang, "Development of a self-tuning TSK-fuzzy speed control strategy for switched reluctance motor," IEEE Transactions on Power Electronics, vol. 27 , no. 4, 2012, pp. 2141-2151.
[24] L. A. Zadeh, "Fuzzy sets," Information and Control, vol. 8, 1965, pp. 338-353.
[25] R. Hosseini, S. D. Qanadli, S. Barman and M. Mazinani, "An automatic approach for learning and tuning Gaussian interval type-2 fuzzy membership functions applied to lung CAD classification system," IEEE Transactions on Fuzzy Systems, vol. 20 , no. 2, 2012, pp. 224-234.
[26] Y. Zhang and H. P. Liu, "Fuzzy multi-objective control strategy for parallel hybrid electric vehicle," IET Transactions on Electrical Systems, vol. 2, no. 2, 2012, pp. 39-50.
[27] J. Y. Choi, K. N. Plataniotis and Y. M. Ro, "Face feature weighted fusion based on fuzzy membership degree for video face recognition," IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 42, no. 4, 2012, pp. 1270-1282.
[28] R. K. Mudi and N. R. Pal, "A robust self-tuning scheme for PI and PD-type fuzzy controllers," IEEE Transactions on Fuzzy Systems, vol. 7, no. 1, 1999, pp. 2-16.
[29] S. C. Wang and Y. H. Liu, "A modified PI-like fuzzy logic controller for switched reluctance motor drives," IEEE Transactions on Industrial Electronics, vol. 58, no. 5, 2011, pp. 1812-1825.
[30] X. D. Xue and K. W. E. Cheng, "Optimization and evaluation of torque-sharing functions for torque ripple minimization in switched reluctance motor drives," IEEE Transactions on Power Electronics, vol. 24, no. 9, 2009, pp. 2076-2090.
[31] V. P. Vujicic, "Minimization of torque ripple and copper losses in switched reluctance drive," IEEE Transactions on Power Electronics, vol. 27, no. 1, 2012, pp. 388-399.
[32] C. Moron, A. Garcia, E. Tremps and J. A. Somolinos, "Torque control of switched reluctance motors," IEEE Transactions on Magnetics, vol. 48, no. 4, 2012, pp. 1661-1664.
[33] H. Hannoun, M. Hilairet and C. Marchand, "Design of an SRM speed control strategy for a wide range of operating speeds," IEEE Transactions on Industrial Electronics, vol. 57, no. 9, 2010, pp. 2911-2921.