• 回答数

    4

  • 浏览数

    182

萌萌panda我最爱
首页 > 学术论文 > 电机论文英文文献

4个回答 默认排序
  • 默认排序
  • 按时间排序

影子kerry

已采纳

The name ": the three-level inverter implementing SVPWM modulation system and SHEPWM mixing method - jia-jun[English] : the name of a Hybrid Method SHEPWM of SVPWM. Adjustable Speed to Three - to Drive System[key] : the three-level inverter, the space vector PWM, selective harmonic elimination PWM inverter, SanDianPingNiBianQi, KongJianShiLiangMaiKuanDiaoZhi, TeDingXiaoXieMaiKuanDiaoZhi, BianPinDiaoSu,,The author] : ZhangYongChang, ZhaoZhengMing, ZhangYingChao, ZhangHaiTao, YuanLiJiang, BaiHua,[zuozhe] : ZhangYongChang, ZhaoZhengMing, ZhangYingChao, ZhangHaiTao, YuanLiQiang, BaiHua,[the] : the tsinghua university electrical engineering department unit of electric power system of state key laboratory, haidian district, Beijing 100084,,[English] : the name of ZHANG Yong - thing, ZHAO Ming ZHANG Ying, the government - chao, ZHANG Hai - - the tao, Li qiang, you will launch, -The title] : jia-jun[English] : A JOURNAL OF science: CHINESE ELECTRICAL ENGINEERING FOR[page] : 72-77The program] : power system[number] : 15 referencesThe periodical information] : 2007 (27[no] : TM464 classification,[English abstract] :[in] : the three-level inverter in the clamping midpoint voltage inverter in large capacity has been widely used in this study. And the high voltage inverter in three levels, namely SHEPWM and used SVPWM when using low frequency used SVPWM, asynchronous SHEPWM, avoid the high-frequency harmonic characteristic worse when implementing SVPWM SHEPWM and low in the shortcomings of large storage, give full play to the advantages of both, in the work within the scope of frequency can be effectively restrain low-order harmonic, get better. Mix modulation of output waveform is difficult problem, this paper analyzes the impact of smooth transition between the reasons and puts forward specific solutions, ensure the switching voltage and current process without jumping on PSIM software. SHEPWM three-level SVPWM and the simulation and actual three-level inverter control in the experiment on the platform of simulation and experimental results demonstrate that this method in the mix modulation frequency and high frequency harmonics are good, both asked the smooth transition of insurance makes the practicability, mix modulation and has been used in the practical three-level inverter.文章名】:三电平变频调速系统SVPWM和SHEPWM混合调制方法的研究-中国电机工程学报【文章英文名】:Study on a Hybrid Method of SVPWM and SHEPWM Applied to Three-level Adjustable Speed Drive System【关键词】:三电平逆变器,空间矢量脉宽调制,特定消谐脉宽调制,变频调速,SanDianPingNiBianQi,KongJianShiLiangMaiKuanDiaoZhi,TeDingXiaoXieMaiKuanDiaoZhi,BianPinDiaoSu,【作者】:张永昌,赵争鸣,张颖超,张海涛,袁立强,白华,【zuozhe】:ZhangYongChang,ZhaoZhengMing,ZhangYingChao,ZhangHaiTao,YuanLiQiang,BaiHua,【作者单位】:清华大学电机系电力系统国家重点实验室,北京市,海淀区,100084,【作者英文名称】:ZHANG Yong-chang,ZHAO Zheng-ming,ZHANG Ying-chao,ZHANG Hai-tao,YUAN Li-qiang,BAI Hua,【刊名】:中国电机工程学报【英文刊名】:A JOURNAL OF THE CHINESE SOCIETY FOR ELECTRICAL ENGINEERING【页数】:72-77【栏目】:电力系统【参考文献数】:15【期刊信息】:2007年16期27卷【分类号】:TM464,【英文摘要】:【摘要】:三电平中点钳位逆变器在高压大容量变频调速中得到了广泛的研究和应用.该文在三电平高压变频器中同时应用SVPWM和SHEPWM,即低频时采用异步SVPWM,高频时采用SHEPWM,避免了高频时SVPWM谐波特性变差和SHEPWM在低频时存储量大的缺点,充分发挥了二者的优点,使变频器在整个工作范围内都可以有效抑制低次谐波,得到较好的输出波形.混合调制的难点在于衔接问题,文中分析了影响二者之间平滑切换的原因并提出了具体的解决方法,保证了切换过程中电压和电流没有跳变.采用PSIM软件对三电平SVPWM和SHEPWM进行了仿真研究,并在实际三电平变频器控制平台上进行了实验.仿真和实验结果证实了该文的混合调制方法在低频和高频都有较好的谐波特性,二者问的平滑过渡保让了混合调制的实用性,并已用于实际三电平变频器之中.

323 评论

Q小茗同学

springer

271 评论

小梅子zh

可以到一些有生产电机控制芯片的外国厂商网址,搜索一下:motor 、BLDC等等,它就会给出一1、些芯片的应用笔记和使用帮助,如果能结合你的毕业设计的某种电机,就更好啦:如TI公司:公司:公司:、还有各高校一般都有些数据库的通用帐号,可以搜索一些外文的会议、杂志资料,你可以到你们图书馆去看看,比较典型的就是:CNKI、维普、万方。但这些如果没帐号是搜索不了的!比如:福州大学-图书馆-数据中心,用校内网址可搜索到外文文献!3、最后比较笨的一种方案是在百度或google等搜索网站,输入“motor" ”BLDC“(无刷直流电机)、"generator"等英文单词,也可以搜索到一些PDF或DOC文件!其它自己找找!

250 评论

niftynifty

[1]ROVITHAKIS G A. Stable adaptive neuro-control design via Lyapunov function derivative estimation [ J ]. Automatica, 2001 37 (8):1213- 1221.[2]王源,胡寿松,吴庆宪.一类非线性系统的自组织模糊CMAC神经网络重构跟踪控制[J].控制理论与应用,2003,20(1):70-77.(WANG Yuan, HU Shousong, WU Qingxian. Adaptive reconfigurable tracking control of a class of nonlinear systems based on self-organizing fuzzy CMAC neural networks [ J ]. Control Theory & Applications, 2003,20(1 ) :70 - 77. )[3]LEWIS F L, YESILDIREK A, LIU K. Multilayer neural net robot controller:structure and stability proofs [ J]. IEEE Trans on Neural Networks, 1996,7(2) :388 - 399.[4]金波,俞亚新.一种自适应CMAC神经元网络控制器及其在水轮调速器中的应用[J].控制理论与应用,2002,19(6):905-908.( JIN Bo, YU Yaxin. Adaptive CMAC controller for hydraulic turbine speed governor [ J ]. Control Theory & Applications, 2002, 19 (6):905 - 908. )[5]CHEN F C, KHALIL H K. Adaptive control of nonlinear systems using neural networks [J]. Int J Control, 1992,55(6): 1299 - 1317.[6]牛玉刚,邹云,杨成梧.基于神经网络的一类非线性系统自适应跟踪控制[J].控制理论与应用,2001,18(3):461-464.( NIU Yugang, ZOU Yun, YANG Chengwu. Neural network-based adaptive tracking control for a class of nonlinear systems [ J]. Control Theory & Application, 2001,18 ( 3 ): 461 - 464. )[7]李翔,陈增强,袁著祉.非最小相位非线性系统的简单递归神经网络控制[J].控制理论与应用,2001,18(3):456-460.(LI Xiang,CHEN Zengqiang, YUAN Zhuzhi. Simple recurrent neural network control for non-minimum phase nonlinear system [ J ]. Control Theory &Application ,2001,18(3) :456 - 460. )[8]CHEN S, BILLINGS S A, GRANT P M. Recursive hybrid algorithm for nonlinear system identification using radial basis function networks [J]. Int J Control, 1992,55(5): 1050 - 1070.[9]BROWN M, HARRIS C J. Neurofuzzy Adaptive Modeling and Control [M].Hertfordshire: Prentice Hall International (UK) Limited,1994.[10]LIN C T, LEE G C S. Neural Fuzzy Systems-A Neuro-fuzzy Synergism to Intelligent Systems [M].New York: Prentice Hall Inc. ,A Simon & Schuster Company, 1996.[11]GE S S, LEE T H, HARRIS C J. Adaptive Neural Network Control of Robotic Manipulators [ M]. Singapore: World Scientific, 1998.[12]孙富春,孙增圻,张钹.机械手神经网络稳定自适应控制的理论与方法[M].北京:高等教育出版社,2004.(SUN Fuchun, SUN Zengqi, ZHANG Bo. Theory and Approaches for Stable Adaptive Control of Robotic Manipulators Using Neural Networks [M]. Beijing: Higher Education Press,2004. )[13]WIDROW B. The original adaptive neural net broom-balancer[ C ]//Proc of IEEE Int Symposium on Circuits and Systems. Piscataway,NJ:IEEE Press, 1987:351 - 357.[14]ALBUS J approach to manipulator control:the cerebellar model articulation controller (CMAC) [ J]. J of Dynamics Systems,Measurement and Control, 1975,97 ( 3 ): 220 - 227.[15]HOPFIELD J J, TANK D W. Computing with neural circuits: A model [ J]. Science, 1986,233:625 - 633.[16]RUMELHART D E, MCCLELLAND J L. Parallel Distributed Processing : Explorations in the Microstructure of Cognition [ M]. Cambridge, MA: MIT Press, 1986.[17]WANG Jeen-Shing, LEE G C S. Self-adaptive recurrent neuro-fuzzy control of an autonomous underwater vehicle [ J ]. IEEE Trans on Robotics and Automation, 2003,19 ( 2 ): 283 - 295.[18]DIAO Yixin, PASSINO K M. Adaptive neural/fuzzy control for interpolated nonlinear systems [ J ]. IEEE Trans on Fuzzy Systems,2002,10(5) :582 - 595.[19]达飞鹏,宋文忠.基于模糊神经网络的滑模控制[J].控制理论与应用,2000:17(1):128-132.(DA Feipeng,SONG Wenzhong. Sliding mode control based on the fuzzy neural networks [ J ]. Control Theory & Applications, 2000,17(1):128- 132.)[20]DENG Hui, SUN Fuchun, SUN Zengqi. Observer-based adaptive controller design of flexible manipulators using time-delay neurofuzzy networks [J]. J of Intelligent and Robotic Systems,2002,34(34) :453 - 466.[21]LIU Huaping, SUN Fuchun, HE Kezhong, et al. Controller design and stability analysis for fuzzy singularly perturbed systems [ J]. Acta Automatica Sinica ,2003,29(4) :494 - 500.[22]胡寿松,周川,胡维礼.基神经网络的模型跟随鲁棒自适应控制[J].自动化学报,2000,26(5):623-629.(HU Shousong, ZHOU Chuan, HU Weili. Model-following robust adaptive control based on neural networks [ J ]. Acta Automatica Sinica ,2000,26(5) :623 - 629. )[23]PARTRICIA Melin, OSCAR Castrilio. Intelligent adaptive control of non-linear dynamical systems with a hybrid neuro-fuzzy-genetic approach [C]//Proc of IEEE Int Conf on Systems, Man, and Cybernetics. Piscataway,NJ: IEEE Press, 2001:1508 - 1513.[24]LEE Ching-hung,LIN Yu-hing,LAI Wei-yu. Systems identification using type-2 fuzzy neural network (type-2 FNN) systems [C]//Proc of 2003 IEEE Int Symposium on Computational Intelligence in Robotics and Automation. Piscataway, NJ: IEEE Press, 2003:1264 -1269.[25]PARTRICIA M, OSCAR C. A new method for adaptive model-based control of nonlinear plants using type-2 fuzzy logic and neural networks [C]//Proc of IEEE Int Conf on Fuzzy Systems. Piscataway,NJ: IEEE Press, 2003: 420 - 425.[26]MENDELAND J M, BOB John R I. Type-2 fuzzy sets made simple [J]. IEEE Trans on Fuzzy Systems,2002,10(2): 117 - 127.[27]Ezhov A A, Khromov A G, Berman G P. Analog quantum neuron for functions approximation [ C ]//Proc of Int Joint Conf on Neural Networks. Piscataway,NJ: IEEE Press, 2001,2:1577 - 1582.[28]SANNER R M, SLOTINE J J E. Stable adaptive control and recursive identification using radial Gaussian networks [ C ]//Proc of IEEE Conf on Decision and Control. Piscataway, NJ: IEEE Press,1991:2116-2123.[29]POLYCARPOU M M, IOANNOU P S. Identification and control of nonlinear systems using neural network models: design and stability analysis EE-Report 91 - 09 - 01 [ R ]. Los Angeles: University of Southem California, 1991.[30]SANCHEZ E N, BERNAL M A. Adaptive recurrent neural control for nonlinear system tracking [ J ]. IEEE Trans on Systems, Man,and Cybernetics, Part B: Cybernetics, 2000,30( 6 ): 886 - 889.[31]SUN Fuchun, LI HanXiong, LI Lei. Robot discrete adaptive control based on dynamic inversion using dynamical neural networks [ J ].Automatica, 2002,38 ( 11 ): 1977 - 1983.[32]SANNER R M, SLOTINE J J E. Structurally dynamic wavelet networks for the adaptive control of uncertain robotic systems [ C ]//Proc of the 34 th IEEE Conf on Decision and Control. Piscataway,NJ: IEEE Press, 1995: 2460 - 2467.[33]POLYCARPOU M M. Stable adaptive neural control scheme for nonlinear systems [ J]. IEEE Trans on Automatic Control, 1996,41(3) :447 - 451.[34]SUN Fuchun, SUN Zengqi, WOO Pengyun. Neural network-based adaptive controller design of robot manipulators with an observer [ J]. IEEE Trans on Neural Networks ,2001,12( 1 ) :54 - 67.[35]NARENDRA K S, PARTHASARATHY K. Identification and control of dynamical systems using neural networks [ J ]. IEEE Trans on Neural Networks, 1990,1(1) :4 - 27.[36]ROVITHAKIS G A. Tracking control of multi - input affine nonlinear dynamical systems with unknown nonlinearities using dynamical neural networks [ J]. IEEE Trans on Systems, Man, and Cybernetics-Part B: Cybernetics, 1999,29(2): 179 - 189.[37]GE S S, LI G Y, LEE T H. Adaptive NN control for a class of strictfeedback discrete-time nonlinear systems [ J ]. Automatica, 2003,39(5) :807 - 819.[38]JAGANNATHAN S, LEWIS F L. Multilayer discrete-time neural-net controller with guaranteed performance [ J ]. IEEE Trans on Neural Networks, 1996,7 ( 1 ): 107 - 130.[39]SUN Fuchun, SUN Zengqi, WOO Pengyan, Stable neural networkbased adaptive control for sampled-data nonlinear systems [ J]. IEEE Trans on Neural Networks, 1998,9(5) :956 - 968.[40]CHENG C M, REES N W. Stability analysis of fuzzy multivariable systems: vector Lyapunov function approach [ J]. IEE Proceeding of Control Theory, 1997,144(5) :403 - 412.[41]SUN Fuchun, SUN Zengqi, FENG Gang. An adaptive fuzzy controller based on sliding mode for robot manipulators [ J ]. IEEE Trans on Systems, Man, and Cybernetics- Part B: Cybernetics,1999,29(5) :661 - 667.[42]TANAKA K, WANG H O. Fuzzy Control Systems Design and Analysis-A Linear Matrix Inequality Approach [M] .New York:John Wiley & Sons, Inc. ,2001.[43]TANIGUCHI T, TANAKA K, WANG H O. Fuzzy descriptor systems and nonlinear model following control [ J ]. IEEE Trans on Fuzzy Systems, 2000,8 (4): 442 - 452.[44]WU S J, LIN C T. Optimal fuzzy controller design: local concept [J] .IEEE Trans on Fuzzy Systems,2000,8(2): 171 - 185.[45]WU S J, LIN C T. Discrete-time optimal fuzzy controller design:global concept approach [ J]. IEEE Trans on Fuzzy Systems, 2002,10(1) :21 - 38.[46]CAO S G, REES N W, FENG G. H∞ control of uncertain fuzzy continuous - time systems [ J ]. Fuzzy Sets and Systems, 2000,115 (2):171 - 190.

353 评论

相关问答

  • 异步电机英文期刊参考文献

    出处:三相异步电动机的原理与结构 摘要:作电动机运行的三相异步电动机转子的转速低于旋转磁场的转速,转子绕组因与磁场间存在着相对运三相异步电动机而感生电动势和电流

    zjxlhzyt虹 3人参与回答 2023-12-08
  • 机电毕业论文单片机参考文献

    中国期刊全文数据库 共找到 4 条[1]黄家升. 基于IAP的单片机软件远程升级[J]. 舰船电子对抗, 2007,(03) . [2]杨美仙. 单片机的发展及

    lukylukycat 3人参与回答 2023-12-05
  • 电动机论文文献参考

    电动机故障诊断技术的应用分析论文 无论是在学习还是在工作中,大家一定都接触过论文吧,论文一般由题名、作者、摘要、关键词、正文、参考文献和附录等部分组成。相信写论

    静婷雅香 4人参与回答 2023-12-06
  • 电磁学论文英文文献

    介绍了电磁学计算方法的研究进展和状态,对几种富有代表性的算法做了介绍,并比较了各自的优势和不足,包括矩量法、有限元法、时域有限差分方法以及复射线方法等

    快到碗里吧吧吧 5人参与回答 2023-12-10
  • 高压电机论文文献

    我之前有在《仪器与设备 》,你也可以自己去找下吧~论文貌似是都可以免费下载的

    丸子的小雕 4人参与回答 2023-12-06