基于神经网络的CPT系统的负载识别算法研究
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摘要
非接触电能传输技术利用现代电力电子能量变换技术、磁场耦合技术,借助现代控制理论和手段实现能量从静止设备向可运动设备的感应电能传输,为了减小系统的体积、重量,采用了高频变换技术,为电工设备供电,是一种安全、可靠、灵活的电能接入技术。
CPT(contactless power transfer)系统正常运行时,负载变化将会使系统工作频率将会发生飘移,偏离谐振频率范围,从而影响了系统鲁棒性,影响系统的正常运行,严重时会导致系统崩溃。通过对CPT系统负载识别算法的研究,可以根据识别结果及时调整控制量,使系统工作频率回到谐振频率的范围,提高系统的鲁棒性,从而使系统重新正常运行。
本论文提出并研究了一种基于神经网络的CPT系统的负载识别算法,通过对负载的识别,改善因负载变化而引起的相关问题。论文介绍了非接触电能传输系统的工作原理、组成、各组成部分的功能,分析了因负载变化与负载频率和电能传输效率之间的变化关系;针对不同性质负载,采用不同的数学模型进行分析,得出了相应性质负载与原边导轨支路输出量和系统频率之间的关系式;介绍了快速傅立叶和神经网络的理论知识,并采用matlab对两种不同识别算法进行仿真结果,针对两种方法的识别结果作出了比较分析,结果表明基于神经网络的负载识别能较精确的识别出负载,达到预期的目的。
Contactless Power Transfer (CPT) technology bases on magnetic coupling,and realizes by applying modern control theory deliver power from stationary source to movable loads. In order to minimize the volume and weight of the system. This system employs high-frequency converting technology and supplies power to loads. It’s a new way of power transmission which is safe, reliable and overcomes disadvantages of traditional power transfer methods.
When CPT system is on the normal operation,the variation of load will cause the system operating frequency to occur drifts,and deviate resonance frequency scope. And thus it will cause the system robust variation,and affect the system's normal operation. It will even cause the system to collapse in the serious case. After making the CPT system load recognition algorithm's research,people realize that promptly adjusting the control quantity according to the recognition result,enables the system operating frequency to return to the resonance frequency scope , thus enhances system's robustness,and has the system on the normal operation again.
This paper has proposed and studied a study of load identify algorithm of contactless power transmission that bases on the neural network,through the load identifying,to improve the related issues caused by load changing.This paper introduces contactless power transmission system on principle、the functions of various components,analyzes the frequency shift and output power reduce caused by load changing. For different nature of loads,different mathematical models are adopted for analysis. The nature of load corresponding to the original trace slip-output and the relationship between the frequency; Introduction the fast Fourier and neural network theory and knowledge。Comparing the results of the two different theory by using Matlab and Pspice,the result shows that load identifying algorithm based on neural networks more precisely than that based on the fast Fourier transform,and it has achieved the expected results.
CPT(contactless power transfer)系统正常运行时,负载变化将会使系统工作频率将会发生飘移,偏离谐振频率范围,从而影响了系统鲁棒性,影响系统的正常运行,严重时会导致系统崩溃。通过对CPT系统负载识别算法的研究,可以根据识别结果及时调整控制量,使系统工作频率回到谐振频率的范围,提高系统的鲁棒性,从而使系统重新正常运行。
本论文提出并研究了一种基于神经网络的CPT系统的负载识别算法,通过对负载的识别,改善因负载变化而引起的相关问题。论文介绍了非接触电能传输系统的工作原理、组成、各组成部分的功能,分析了因负载变化与负载频率和电能传输效率之间的变化关系;针对不同性质负载,采用不同的数学模型进行分析,得出了相应性质负载与原边导轨支路输出量和系统频率之间的关系式;介绍了快速傅立叶和神经网络的理论知识,并采用matlab对两种不同识别算法进行仿真结果,针对两种方法的识别结果作出了比较分析,结果表明基于神经网络的负载识别能较精确的识别出负载,达到预期的目的。
Contactless Power Transfer (CPT) technology bases on magnetic coupling,and realizes by applying modern control theory deliver power from stationary source to movable loads. In order to minimize the volume and weight of the system. This system employs high-frequency converting technology and supplies power to loads. It’s a new way of power transmission which is safe, reliable and overcomes disadvantages of traditional power transfer methods.
When CPT system is on the normal operation,the variation of load will cause the system operating frequency to occur drifts,and deviate resonance frequency scope. And thus it will cause the system robust variation,and affect the system's normal operation. It will even cause the system to collapse in the serious case. After making the CPT system load recognition algorithm's research,people realize that promptly adjusting the control quantity according to the recognition result,enables the system operating frequency to return to the resonance frequency scope , thus enhances system's robustness,and has the system on the normal operation again.
This paper has proposed and studied a study of load identify algorithm of contactless power transmission that bases on the neural network,through the load identifying,to improve the related issues caused by load changing.This paper introduces contactless power transmission system on principle、the functions of various components,analyzes the frequency shift and output power reduce caused by load changing. For different nature of loads,different mathematical models are adopted for analysis. The nature of load corresponding to the original trace slip-output and the relationship between the frequency; Introduction the fast Fourier and neural network theory and knowledge。Comparing the results of the two different theory by using Matlab and Pspice,the result shows that load identifying algorithm based on neural networks more precisely than that based on the fast Fourier transform,and it has achieved the expected results.
引文
[1] Boys J T, Hu A P, Covic G A. Critical Q analysis of a current-fed resonant converter for ICPT applications [J]. Electronics Letters, 2000, 36(17): 1440 - 1442.
[2] J.T.Boys,G..A.Covic,“Pick-up transtormer for ICPT applications,”in Proc. Electronics Letters, 2002, pp. 1276-1278.
[3] A.P.Hu, J.T.Boys,“Frequency analysis and computation of a current-fed resonant converter for ICPT power supplies,”in Proc. International conference on power system technology, 2000, pp.327-332.
[4] Bieler, T., Perrottet, M., Nguen, V., etal,“Contactless power and information transmission,”IEEE Transactions on Industry Electronics, 2002, vol.38,No.5, pp.1266-1272.
[5] Yungtaek Jang, Jovanovic, M.M.,“A Contactless Electrical Energy Transmission System for Portable-Telephone Battery Chargers,”IEEE Transactions on Industry Electronics, 2003, vol.50, No.3, pp. 520-527.
[6]董慧芬.感应电能传输技术的研究[学位论文].天津,河北工业大学,2002:3-1.
[7]陈小娟.基于嵌入式技术的CPT控制系统的研究与实现[学位论文].重庆,重庆大学,2007:6-15.
[8] Abel E, Third S M. Contactless power transfer--An exercise in topology [J]. IEEE Transaction on mahnetics, 1984, 20(5):1813-1815.
[9] Byeong-Mun Song, Kratz, R., Gurol, S.,“Contactless inductive power pickup system for Maglev applications,”Industry Applications Conference, 2002. 37th IAS Annual Meeting, 2002,3: 1586– 1591.
[10] Steigerwals, R.L.; Saj, C.F.; Croff, G.A.;“Analysis and design of a contactless rotary power Transfer system,”Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual, 2001, 4: 2125-2130.
[11] Byungcho Choi, Jaehyun Nho, Honnyong Cha, Taeyoung Ahn and Seungwon Choi,“Design and implementation of low-profile contactless battery charger using planar printed circuit board windings as energy Transfer device,”IEEE Transactions on Industrial Electronics, 2004,51(1): 140-147.
[12] Hideaki Abe, Hiroshi Sakamoto and Koosuke Harada,“Load voltage stabilization of non-contact energy Transfer using three resonant circuit,”IEEE Power Conversion Conference, 2002, 2: 466-471.
[13] Chwei-Sen Wang, Oskar H. Stielau and Grant A. Covic,“Design Considerations for acontactless electric vehicle battery charger,”IEEE Transactions on Industrial Electronics, 2005, 52(5): 1308-1314.
[14] Chwei-Sen Wang, Grant A. Covic and Oskar H. Stielau,“Investigating an LCL load resonant inverter for inductive power Transfer applications,”IEEE Transactions on Power Electronics, 2004,19(4): 995-1002.
[15] Fujita, Y.,Hirotsune, A.,Amano, E..Contactless Power Supply for Layer-Selection-Type R ecordable Multi-Layer Optical Disk. Optical Data Storage Topical Meeting, 2006:252– 254.
[16]武瑛,严陆光,黄常纲,徐善纲.新型无接触电能传输系统的性能分析.电工电能新技术,2003(4):10-13.
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[23]导师孙跃,戴欣,苏玉刚,杜雪飞.广义状态空间平均法在CMPS系统建模中的应用[J].电力电子技术, 2004,03:88-90.
[24]导师孙跃,李良,戴欣,苏玉刚,王智慧.电流型全桥软开关变换器的离散映射建模与仿真[J].电工技术学报, 2005,06:23-27.
[25]刘宁宁.基于频域分析与神经网络的学生公寓电器类型识别[学位论文].石家庄,石家庄铁道学院,2004:02-01.
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[27]郭刚.阀控缸负载阻力的模糊识别方法[J].液压与传动,2002,07:16-17.
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[31] Chen,C.S.,Hwang,J.C. Determination of customer load characteristics by load survey system at Taipower[J].IEEE Transactions on Power Delivery,1996,11(3):1430-1436.
[32]郑宇,姚加飞.基于谐波分离的学生公寓负载特性识别[J].电气应用,2007,08:113-116.
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[34]王智慧.非接触电能传输系统稳频技术研究[学位论文].重庆,重庆大学,2006:7-10.
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[2] J.T.Boys,G..A.Covic,“Pick-up transtormer for ICPT applications,”in Proc. Electronics Letters, 2002, pp. 1276-1278.
[3] A.P.Hu, J.T.Boys,“Frequency analysis and computation of a current-fed resonant converter for ICPT power supplies,”in Proc. International conference on power system technology, 2000, pp.327-332.
[4] Bieler, T., Perrottet, M., Nguen, V., etal,“Contactless power and information transmission,”IEEE Transactions on Industry Electronics, 2002, vol.38,No.5, pp.1266-1272.
[5] Yungtaek Jang, Jovanovic, M.M.,“A Contactless Electrical Energy Transmission System for Portable-Telephone Battery Chargers,”IEEE Transactions on Industry Electronics, 2003, vol.50, No.3, pp. 520-527.
[6]董慧芬.感应电能传输技术的研究[学位论文].天津,河北工业大学,2002:3-1.
[7]陈小娟.基于嵌入式技术的CPT控制系统的研究与实现[学位论文].重庆,重庆大学,2007:6-15.
[8] Abel E, Third S M. Contactless power transfer--An exercise in topology [J]. IEEE Transaction on mahnetics, 1984, 20(5):1813-1815.
[9] Byeong-Mun Song, Kratz, R., Gurol, S.,“Contactless inductive power pickup system for Maglev applications,”Industry Applications Conference, 2002. 37th IAS Annual Meeting, 2002,3: 1586– 1591.
[10] Steigerwals, R.L.; Saj, C.F.; Croff, G.A.;“Analysis and design of a contactless rotary power Transfer system,”Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual, 2001, 4: 2125-2130.
[11] Byungcho Choi, Jaehyun Nho, Honnyong Cha, Taeyoung Ahn and Seungwon Choi,“Design and implementation of low-profile contactless battery charger using planar printed circuit board windings as energy Transfer device,”IEEE Transactions on Industrial Electronics, 2004,51(1): 140-147.
[12] Hideaki Abe, Hiroshi Sakamoto and Koosuke Harada,“Load voltage stabilization of non-contact energy Transfer using three resonant circuit,”IEEE Power Conversion Conference, 2002, 2: 466-471.
[13] Chwei-Sen Wang, Oskar H. Stielau and Grant A. Covic,“Design Considerations for acontactless electric vehicle battery charger,”IEEE Transactions on Industrial Electronics, 2005, 52(5): 1308-1314.
[14] Chwei-Sen Wang, Grant A. Covic and Oskar H. Stielau,“Investigating an LCL load resonant inverter for inductive power Transfer applications,”IEEE Transactions on Power Electronics, 2004,19(4): 995-1002.
[15] Fujita, Y.,Hirotsune, A.,Amano, E..Contactless Power Supply for Layer-Selection-Type R ecordable Multi-Layer Optical Disk. Optical Data Storage Topical Meeting, 2006:252– 254.
[16]武瑛,严陆光,黄常纲,徐善纲.新型无接触电能传输系统的性能分析.电工电能新技术,2003(4):10-13.
[17]武瑛,严陆光,徐善纲.新型无接触电能传输系统的稳定性分析.中国电机工程学报,2004(5):63-66.
[18]杨民生,欧阳红林,黄守道.感应耦合电能传输系统的控制策略.电气时空,2005(4):27-28.
[19]左文,杨民生,欧阳红林,黄守道.基于DSP的非接触式移动电源技术及其应用前景.2004(8):23-24.
[20]王平楠,唐厚君.基于非接触电能传输电路的技术分析.微处理机,2006,6,3:63-66.
[21]杜雪飞,导师孙跃.混合电动车及其电气驱动系统[J].重庆大学学报(自然科学版), 2002,09:59-64.
[22]戴欣,导师孙跃.单轨行车新型供电方式及相关技术分析[J].重庆大学学报(自然科学版), 2003,01:52-55.
[23]导师孙跃,戴欣,苏玉刚,杜雪飞.广义状态空间平均法在CMPS系统建模中的应用[J].电力电子技术, 2004,03:88-90.
[24]导师孙跃,李良,戴欣,苏玉刚,王智慧.电流型全桥软开关变换器的离散映射建模与仿真[J].电工技术学报, 2005,06:23-27.
[25]刘宁宁.基于频域分析与神经网络的学生公寓电器类型识别[学位论文].石家庄,石家庄铁道学院,2004:02-01.
[26]李昂,史延冬,宁飞.智能负载识别器的设计[J].微型机与应用, 2005,04:21-22.
[27]郭刚.阀控缸负载阻力的模糊识别方法[J].液压与传动,2002,07:16-17.
[28]魏武.智能交通系统关键技术研究-图像处理、模式识别与智能控制[学位论文].武汉:华中理工大学,2000.
[29]庞新富,汪毓铎.用电设备阻抗性质识别及电量参数测量与测试[J].辽宁工学院学报,2004,05:13-17.
[30]彭志科.小波分析在旋转设备故障诊断中的应用[学位论文].武汉,华中理工大学,2002.
[31] Chen,C.S.,Hwang,J.C. Determination of customer load characteristics by load survey system at Taipower[J].IEEE Transactions on Power Delivery,1996,11(3):1430-1436.
[32]郑宇,姚加飞.基于谐波分离的学生公寓负载特性识别[J].电气应用,2007,08:113-116.
[33]陈小娟.基于嵌入式技术的CPT控制系统的研究与实现[学位论文].重庆,重庆大学,2007:9-11.
[34]王智慧.非接触电能传输系统稳频技术研究[学位论文].重庆,重庆大学,2006:7-10.
[35]张卫平.开关变换器的建模与控制[M].北京,中国电力出版社,2006.
[36] N.Mohan.T.M.Underland,W.P.Robbins.Power.Electronics:Converters,Applications,and Design,2nd ed.New York:Wiley,1995,pp.82～87.
[37] John T.Boys,Grant A.Covic,Member,IEEE,and Yongxiang Xu.“DC Analysis Technique for Inductive Power Transfer Pick-Ups.”IEEE Power Electronics Letters.2003.6(2):51-53.
[38]倪养华,王重玮.数字信号处理—原理与实现[M].上海:上海交通大学出版社,1998.
[39]宗孔德,胡广书.数字信号处理[M]北京:清华大学,1988,37.
[40]吴湘淇.信号、系统与信号处理(上) [M]北京:电子工业出版社,1999.
[41]韩立群.人工神经网络理论设计与应用.[M].北京:北京化工出版社,2002.
[42]神经网络理论与MATLAB7实现[M].北京:电子工业出版社,2005.
[43]李学桥.神经网络工程应用[M].重庆:重庆大学出版社,1995.
[44]沈清,胡德文,时春。神经网络应用技术[M].长沙:国防科技大学出版社,1993.
[45]闻新等.MATLAB神经网络仿真与应用[M].科学出版社,2003.7.
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