Abstract：This paper depicts the numerical nonlinear simulation done in Matlab simulation software in order to study the nonlinear characteristic of digitally controlled switched reluctance drive and therefore provide method to improve system performance. The given work makes use of the phase space reconstruction theory to analyze the time series of speed error derivative. The correlation dimension and maximum Lyapunov exponent are calculated and the results prove that chaotic behavior exists in switched reluctance drive. On this basis, a new frequency chaotic modulation strategy is designed and compared to Chua’s circuit chaotic modulation. From simulation and experimental results it is clear that the new frequency modulation strategy can improve the electromagnetic compatibility.
[1] Lobo N S, Hong Sun Lim, Krishnan R. Comparison of linear switched reluctance machines for vertical propulsion application: analysis, design, and experi- mental correlation[J]. IEEE Transactions on Industry Applications, 2008, 44(4): 1134-1142. [2] Seok Gyu Oh, Krishnan R. Two-phase SRM with flux-reversal-free stator: concept, analysis, design, and experimental verification[J]. IEEE Transactions on Industry Applications, 2007, 43(5): 1247-1257. [3] Lin Z Y, Reay D S, Williams B W, et al. Torque ripple reduction in switched reluctance motor drives using B-spline neural networks, industry applications[J], IEEE Transactions on Industry Applications, 2006, 42(6): 1445-1453. [4] Divandari M, Brazamini R, Dadpour A, et al. A novel dynamic observer and torque ripple minimization via fuzzy logic for SRM drives[C]. IEEE International Symposium on Industrial Electronics, 2009: 847-852. [5] Reis dos L L N, Sobreira F, Coelho A R R, et al. Identification and adaptive speed control for switched reluctance motor using DSP[C]. Power Electronics Conference, Brazilian, 2009: 836-841. [6] Rahman K, Schulz S E. High-performance fully digital switched reluctance motor controller for vehicle propulsion[J]. IEEE Transactions on Industry Applications, 2002, 38(4): 1062-1071. [7] Vande Sype D M, DeGusseme K, DeBelie F M L L, et al. Small-signal-domain analysis of digitally controlled converters[J]. IEEE Transactions on Power Electronics, 2006, 21(2): 470-478. [8] Hao P, Prodic A, Alarcon E, et al. Modeling of quantization effects in digitally controlled dc-dc converters[J]. IEEE Transactions on Power Electronics, 2007, 22(1): 208-215. [9] Chen J H, Chau K T, Chan C C, et al. Subharmonics and chaos in switched reluctance motor drive[J]. IEEE Transactions on Energy Conversion, 2002, 17(1): 73-78. [10] Chau K T, Chen J H. Modeling, analysis, and experimentation of chaos in a switched reluctance drive system[J]. IEEE Transactions on Circuits and Systems, 2003, 50(5): 712-716. [11] Luo J W, Zhan Q H. A novel soft-switching converter for switched reluctance motor: analysis, design and experimental results[C]. IEEE International Conference on Electric Machines and Drives, 2005: 1955-1961. [12] 吕金虎, 陆君安, 陈士华, 等. 混沌时间序列分析及其应 用[M]. 武汉：武汉大学出版社, 2002. [13] Trescases O, Wei G W, Prodic A, et al. An EMI reduction technique for digitally controlled SMPS[J]. IEEE Transactions on Power Electronics, 2007, 22(4):1560-1565. [14] Kaboli S, Mahdavi J, Agah A. Application of random PWM technique for reducing the conducted electromagnetic emissions in active Filters[J]. IEEE Transactions on Industrial Electronics, 2007, 54(4): 2333-2343. [15] 杨汝, 张波. 开关变换器混沌PWM频谱量化特性分析[J]. 物理学报, 2006, 55(11): 5667-5673. [16] Li H, Tang W K S, Li Z, et al. A chaotic peak current-mode boost converter for EMI reduction and ripple suppression[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2008, 55(8): 763-767. [17] Tse K K, Ng R W M, Chung H S H. An evaluation of the spectral characteristics of switching converters with chaotic carrier-frequency modulation[J]. IEEE Transactions on Industrial Electronics, 2003, 50(1): 171-182.
2010, Vol. 25 
