Please use this identifier to cite or link to this item:
http://hdl.handle.net/11455/91178
DC Field | Value | Language |
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dc.contributor | Ching-Chih Tsai | en_US |
dc.contributor | 蔡清池 | zh_TW |
dc.contributor.author | 張駿謙 | zh_TW |
dc.contributor.author | Chun-Chien Chang | en_US |
dc.contributor.other | 電機工程學系所 | zh_TW |
dc.date | 2014 | zh_TW |
dc.date.accessioned | 2015-12-10T05:49:50Z | - |
dc.identifier | U0005-3105201514431000 | zh_TW |
dc.identifier.citation | [1] Taiwan power company http://www.taipower.com.tw [2] E. Koutroulis and K. Kalaitzakis, 'Design of a Maximum Power Tracking System for Wind-Energy-Conversion Applications,' IEEE Transactions on Industrial Electronics, vol. 53, no. 2, pp. 1156-1167, April, 2013. [3] T. Torbjorn. 'Control by variable rotor speed of a fixed-pitch wind turbine operating in a wide speed range,' IEEE Transactions on Energy Conversion, vol.8, no. 3, pp. 520-526, 1993. [4] J. Beltrán1, A. Llombart1, 2 and J.J. Guerrero3 'Detection of Nacelle Anemometers Faults in a Wind Farm', International Conference on Renewable Energies and Power Quality Valencia (Spain), 15th to 17th April, 2009 [5] B.Smith , H. Link,G. Randall , T. McCoy 'Applicability of Nacelle Anemometer Measurements for Use in Turbine Power Performance Tests,' American Wind Energy Association (AWEA) WINDPOWER 2002 Conference Portland, Oregon June 2-5, 2002. [6] M. Barakati, Modeling and Controller Design of a Wind Energy Conversion System Including a Matrix Converter, Master Thesis, Department of Electrical Engineering, and University of Waterloo July 2010. [7] M.A. Abdullah, A.H.M. Yatim, C.W. Tan, R. Saidur 'A review of maximum power point tracking algorithms for wind energy systems.' Renewable and Sustainable Energy Reviews, vol.16, No. 5, pp. 3220–3227, June 2012. [8] M. N. Eskander and F. A. Ghali, 'Fuzzy logic control based maximum power tracking of a wind energy system,',Renewable Energy, vol. 23, no. 2, pp. 235–245, June 2001. [9] M.K.K.Reedy., G. Sreenivasulu ,'Fuzzy logic control of variable speed induction machine wind generation system,' in Proc. of 2010 IEEE International Conference , pp. 333- 338,Oct 2010. [10] M.G. Simoes, B.K. Bose, Ronald J. Spiegel, 'Fuzzy logic based intelligent control of a variable speed cage machine wind generation system,' IEEE Transactions on Power Electronics,vol.12, no. 1, pp. 87-95, Jan 1997. [11] R.M.G. Castro and L.A.F.Ferreira, 'A comparison between chronological and probabilistic methods to estimate wind power capacity,' IEEE Transactions on Power Systems, vol.16 , no.4, pp. 904-909, Nov. 2001. [12] C. S. Shieh, Maximum power tracking control of Solar PV systems, Master Thesis, Department of Electrical Engineering, National Chung Hsing University, July 2010. [13] C. S Chiu, Z.-H. Li, and Y.-H. Chen, 'T-S Fuzzy Direct Maximum Power Point Tracking of Wind Energy Conversion Systems,' International Journal of Fuzzy Systems, vol. 15, no. 2, pp. 192-202, June 2013. [14] G. Walker, 'Evaluating MPPT converter topologies using a Matlab PV model,' J. Elect. Electron. Eng., Australia, vol. 21, no. 1, pp. 45–55, 2001. [15] C. S. Chiu, T. S. Chaing, M. L. Chou, W. J. Hung, J. H. Liu, 'Maximum Power Point Tracking of Wind Power Systems via Fast terminal Sliding Mode Control,' in Proc. 2014 IEEE International conference on Control and Automation, Taichung, Taiwan, June 2014. [15]N.N. Karnik, J.M. Mendel and Q. Liang, 'Type-2 Fuzzy Logic Systems,' IEEE Transaction on Fuzzy Systems, vol. 7, pp. 643-658, 1999. [16] Q. Liang and J.M. Mendel, 'Interval Type-2 Fuzzy Logic Systems: Theory and Design, ' IEEE Transactions on Fuzzy Systems, vol. 8, no. 5, pp. 535-550, 2000. [17]T. Kumbasar, I. Eksin, M. Guzelkaya and E. Yesil, 'Type-2 fuzzy model based controller design for neutralization processes,' ISA Transactions, vol. 51 (2), pp. 277-287, 2012. [18]D. Wu and W. W. Tan, 'Genetic Learning and Performance Evaluation of Internal Type-2 Fuzzy Logic Controllers,' Eng. Appl. of Artificial Intelligence, vol. 19, pp. 829-841, 2006. [19]O. Castillo, G. Huesca and F. Valdez, 'Evolutionary Computing for Optimizing Type-2 Fuzzy Systems in Intelligent Control of Non-Linear Dynamic Plants,' In Proceeding of North American Fuzzy Information Processing Society, pp. 247-251, 2005. [20] M. Aliasghary, I. Eksin, M. Guzelkaya and T. Kumbasar, 'Design of an interval type-2 fuzzy logic controller based on conventional PI controller,' In Proc. Int. Conf. MED, pp. 627-632, 2012. [21]D. Wu, 'Twelve Considerations in Choosing between Gaussian and Trapezoidal Membership Functions in Interval Type-2 Fuzzy Logic Controllers,' in Proc. Of 2012 IEEE World Congress on Computation Intelligence, Brisbane, Australia, June 2012. [22] C. Y. Li, Design and Implementation of Fuzzy Controller for Fuel Cell and Photovoltaic Generation Systems, Master Thesis, Department of Electrical Engineering, National Cheng Kung University, June 2012. [23]http://www.vishay.com/product?docid=91021#appnot [24]http://www.datasheetlib.com/datasheet/268932/mbr2060ct_motorola-semiconduct or.html [25]邱謙松,李俊億,蕭傳霖 '風力發電最大功率滑模控制,' in Proceedings of 2014 National Symposium on System Science and Engineering ,National Quemoy University, Kinmen, pp.196, 21~23 June, 2014. [26] C.C. Chang, C. C. Tsai, 'Maximum Power Point Tracking Using PI-Like Interval Type-2 Fuzzy Control for Wind Power Generation Systems,' in Proceedings of 2014 National Symposium on System Science and Engineering National Quemoy University, Kinmen, pp.464, 21~23 June, 2014. [27] http://www.rtcc.org/2009/html/renew-solar-1.html [28]B. Wolff and H. Meyer, Wind Energy, The Franklin Institute Presss,1978. [29] http://www.ti.com/ww/tw/prod_dsp_products.html | zh_TW |
dc.identifier.uri | http://hdl.handle.net/11455/91178 | - |
dc.description.abstract | This thesis develops two PI-like interval type-2 (IT2) fuzzy maximum power point tracking (MPPT) controllers for two wind energy conversion systems with DC-DC boost or buck converters. After the brief model descriptions of the wind power turbine, power generation system and digital control system, the proposed IT2 fuzzy PI-like MPPT controller for the wind energy boost system is first designed by combining the DC-DC boost converter. Furthermore, the proposed IT2 fuzzy PI-like MPPT controller for the wind energy buck system is then synthesized using the DC-DC buck converter. The asymptotical stabilities of both proposed controllers are investigated in detail. The effectiveness and merits of the proposed MPPT controllers are exemplified by conducting several simulations via Matlab/Simulink; the proposed controller is shown superior by comparing to a conventional PI MPPT controller and a PI-like type-1 fuzzy MPPT controller. Experimental results are conducted to demonstrate the applicability of the proposed control methods. | en_US |
dc.description.abstract | 本論文針對兩種含直流昇降壓器與電池充電模組之風力發電轉換系統,在不同風速的情境下,發展兩種類似 PI 區間第二型的模糊最大功率追蹤控制器。在精簡描述風力機,三相永磁同步發電機與三相整流器後,第一種類似 PI 區間第二型模糊最大功率追蹤控制器被提出,用以控制含直流昇壓器的風力發電昇壓轉換系統,達成最大功率追蹤控制的目的。再者,針對直流降壓器與電池充電模組之風力發電轉換系統,提出第二種類似 PI 區間第二型模糊最大功率追蹤控制律,二者最主要的差異為升壓部份為控制風力發電機輸出的最大功率,而降壓的部份則為針對降壓器後端的輸出進行最大功率追蹤,兩種控制律的閉迴路穩定度皆被詳細地證明。經由運用 MATLAB / Simulink 模擬以及與一般 PI 控制器與Type-1 模糊控制器進行性能比較,其結果足以說明所提的 PI-like 區間第二型模糊最大功率追蹤控制器(IT2 MPPT)方法之有效性與優越性。實驗數據說明兩種方法的實用性,使風力發電能在任何環境下能發揮更佳成效。 | zh_TW |
dc.description.tableofcontents | 致謝辭 …………i 中文摘要 …………ii Abstract…………iii Contents…………iv List of Figures…………vii List of Tables…………xii Nomenclature…………xiii List of Acronyms………… xiv Chapter 1 Introduction…………1 1.1 Study Background …………1 1.2 Introduction to Wind Power Generation Systems …………5 1.3 Comparisons of MPPT Controllers For Wind Energy Conversion Systems: Advantages and Disadvantages…………7 1.4 Motivation and Objectives …………10 1.5 Main Contributions …………10 1.6 Thesis Organization …………11 Chapter 2 Wind Power Modeling and Simulations …………13 2.1 Introduction …………13 2.2 Mathematical Models of Wind Turbines and Permanent Magnet Synchronous Generators …………14 2.2.1 Mathematical Models of Wind Turbines …………14 2.2.2 Permanent Magnet Synchronous Generator (PMSG) …………17 2.3 Control System Structure …………19 2.3.1 Three-Phase Full-Wave Rectifier …………20 2.3.2 DC-DC Boost and Buck Converters …………21 2.3.3 Digital Signal Controller (DSC…………22 2.4 Simulations and Discussion …………25 2.5 Experimental Result and Discussion …………28 2.6 Chapter Summaries …………30 Chapter 3 PI-Like Interval Type-2 Fuzzy MPPT Control for Wind Energy Boost Conversion System …………32 3.1 Introduction …………32 3.2 DC-DC Boost Converter Principle and Mathematical Models…………33 3.2.1 Working Principle of the DC-DC Boost Converter …………33 3.2.2 Derivation of the Dynamic Model …………36 3.3 Fuzzy Logic Theory …………39 3.3.1 Type-1 Fuzzy Logic System …………40 3.3.2 Type-2 Fuzzy Logic System …………40 3.4 PI-Like IT2 Fuzzy Logic Control …………42 3.4.1 Stability Analysis …………46 3.5 Simulations and Discussion …………47 3.6 Experimental Results and Discussion …………50 3.7 Concluding Remarks …………54 Chapter 4 PI-Like Interval Type-2 Fuzzy MPPT Controller for Wind Energy Buck Conversion System …………55 4.1 Introduction …………55 4.2 DC-DC Buck Converter Principle and Mathematical Models …………55 4.2.1 Working Principle of the DC-DC Buck Converter …………55 4.2.2 Derivation of Dynamic Model …………59 4.3 PI-Like IT2 Fuzzy Logic Control and Stability Analysis …………62 4.3.1 Stability Analysis …………65 4.4 Simulations and Discussion …………66 4.5 Experimental Results and Discussion …………70 4.6 Concluding Remarks …………73 Chapter 5 Conclusions and Future Work …………75 5.1 Conclusions …………75 5.2 Future Work …………76 Appendix …………78 References …………79 | zh_TW |
dc.language.iso | en_US | zh_TW |
dc.rights | 同意授權瀏覽/列印電子全文服務,2018-07-15起公開。 | zh_TW |
dc.subject | Boost-Buck converter | en_US |
dc.subject | fuzzy control | en_US |
dc.subject | IT2 fuzzy control | en_US |
dc.subject | maximum power point tracking (MPPT) | en_US |
dc.subject | PI control | en_US |
dc.subject | wind power generation | en_US |
dc.subject | 升降壓轉換器 | zh_TW |
dc.subject | 模糊控制 | zh_TW |
dc.subject | 區間第二型模糊控制 | zh_TW |
dc.subject | 最大功率點追蹤(MPPT) | zh_TW |
dc.subject | PI 控制 | zh_TW |
dc.subject | 風力發電 | zh_TW |
dc.title | 風能升降壓系統之區間第二型模糊最大功率控制器設計與研製 | zh_TW |
dc.title | Design and Implementation of Interval Type-2 Fuzzy Maximum Power Point Tracking Controllers for Wind Energy Conversion Systems | en_US |
dc.type | Thesis and Dissertation | en_US |
dc.date.paperformatopenaccess | 2018-07-15 | zh_TW |
dc.date.openaccess | 2018-07-15 | - |
item.grantfulltext | restricted | - |
item.openairetype | Thesis and Dissertation | - |
item.languageiso639-1 | en_US | - |
item.fulltext | with fulltext | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
Appears in Collections: | 電機工程學系所 |
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