<dd id="mimiw"><samp id="mimiw"></samp></dd>

<address id="mimiw"><nav id="mimiw"><delect id="mimiw"></delect></nav></address>

    Suzhou Electric Appliance Research Institute
    期刊號(hào): CN32-1800/TM| ISSN1007-3175

    Article retrieval

    文章檢索

    首頁(yè) >> 文章檢索 >> 往年索引

    內(nèi)??刂圃谟来磐诫姍C(jī)中的應(yīng)用

    來(lái)源:電工電氣發(fā)布時(shí)間:2018-06-16 09:16 瀏覽次數(shù):682
    內(nèi)??刂圃谟来磐诫姍C(jī)中的應(yīng)用
     
    曾成,張維
    (東南大學(xué) 電氣工程學(xué)院,江蘇 南京 210096)
     
        摘 要:永磁同步電機(jī)控制系統(tǒng)是典型的非線性多變量強(qiáng)耦合系統(tǒng),應(yīng)用內(nèi)??刂疲↖MC)策略能夠很好實(shí)現(xiàn)電機(jī)電流解耦以及速度快速跟蹤。闡述了IMC的發(fā)展及IMC控制器的設(shè)計(jì),介紹了當(dāng)前永磁同步電機(jī)主流控制策略,分析了IMC在永磁同步電機(jī)控制系統(tǒng)中的應(yīng)用及存在的問(wèn)題,并提出改進(jìn)思路。
        關(guān)鍵詞:永磁同步電機(jī);內(nèi)??刂?;解耦;算法
        中圖分類號(hào):TM341 ;TM921.5     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):1007-3175(2018)06-0001-09
     
    Application of Internal Model Control in Permanent Magnet Synchronous Motor
     
    ZENG Cheng, ZHANG Wei
    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)
     
        Abstract: Permanent magnet synchronous motor (PMSM) control system is a typical nonlinear multivariable strong coupling system. The application of internal model control (IMC) strategy could achieve good motor current decoupling and fast speed tracking. This paper described the development of IMC and the design of IMC controller. Introduction was made to the current mainstream control strategy of PMSM. This paper analyzed the application of IMC in PMSM control system and the problems existing in the application of the internal model control in the permanent magnet synchronous motor control and proposed the improvement ideas.
        Key words: permanent magnet synchronous motor; internal model control; decoupling; algorithm
     
    參考文獻(xiàn)
    [1] KIM K H, YOUN M J.A nonlinear speed control for a PM synchronous motor using a simple disturbance estimation technique[J]. IEEE Transactions on Industrial Electronics,2002,49(3):524-535.
    [2] BAIK I C, KIM K H, YOUN M J.Robust nonlinear speed control of PM synchronous motor using boundary layer integral sliding mode control technique[J]. IEEE Transactions on Control Systems Technology,2000,8(1) :47-54.
    [3] LI S H, LIU Z G.Adaptive speed control for permanent-magnet synchronous motor system with variations of load inertia[J]. IEEE Transactions on Industrial Electronics,2009,56(8):3050-3059.
    [4] YANG S M, DENG Y J.Observer-based inertial identification for auto-tuning servo motor drives[C]//Fourtieth IAS Meeting Conference Record of the Industry Applications Conference,2005:968-972.
    [5] HAN H C, VU N T T, JUNG J W. Digital implementation of an adaptive speed regulator for a PMSM[J]. IEEE Transactions on Power Electronics,2011,26(1):3-8.
    [6] EL-SOUSY F F M.Hybrid H -based wavelet-neural-network tracking control for permanent-magnet synchronous motor servo drives[J]. IEEE Transactions Industrial Electronics,2010,57(9):3157-3166.
    [7] LUO Y, CHEN Y Q, AHNC H S, et al.Fractional order robust control for cogging effect compensation in PMSM position servo systems: Stability analysis and experiments[J].Control Engineering Practice,2010,18(9):1022-1036.
    [8] LI S H, LIU H X, DING S H.A speed control for a PMSM using finite-time feedback control and disturbance compensation[J]. Transactions of the Institute of Measurement & Control,2010,32(2):170-187.
    [9] CORTES P, KAZMIERKOWSKI M P, KENNEL R M, et al. Predictive control in power electronics and drives[J]. IEEE Transactions Industrial Electronics,2008,55(12):4312-4324.
    [10] LIU H X, LI S H. Speed control for PMSM servo system using predictive functional control and extended state observer[J]. IEEETransactions on Industrial Electronics,2012,59(2):1171-1183.
    [11] KUNG Y S, TSAI M H. FPGA-Based Speed Control IC for PMSM Drive with Adaptive Fuzzy Control[J]. IEEE Transactions on Power Electronics,2007,22(6):2476-2486.
    [12] LIN F J, LIN C H. A permanent-magnet synchronous motor servo drive using self-constructing fuzzy neural network controller[J]. IEEE Transactions on Energy Conversion,2004,19(1):66-72.
    [13] GARCIA C E, MORARI M.Intenal model control-1: A unifying review and some new results[J]. Industrial & Engineering Chemistry Process Design and Development,1982,21(2):308-323.
    [14] RIVALS I, Personna Z L.Nonlinear internal model control using neural networks: Application to process with delay and design issues[J]. IEEE Transactions on Neural Networks,2000,11(1):80-90.
    [15] XIE W F, RAD A B.Fuzzy adaptive internal model control[J]. IEEE Transactions on Industrial Electronics,2000,47(1):193-202.
    [16] LI S H, GU H. Fuzzy Adaptive Internal Model Control Schemes for PMSM Speed-Regulation System[J]. IEEE Transactions on Industrial Informatics,2012,8(4):767-779.
    [17] SHAO X J, ZHANG J G, ZHAO Z C, et al. Adaptive internal model control of permanent magnet synchorous motor driver system[C]//Proceedings of the Eight International Conference on Electrical Machines & Systems:1843-1846.
    [18] WU Wei. Performance enhancement of internal model based anti-windup control for input saturation via loop shaping[C]//IEEE International Symposium on Industrial Electronics,2009:1715-1719.
    [19] HU Q, RANGAIAH G P. Anti-Windup Schemes for Uncertain Nonlinear Systems[J]. IEE Proceedings-Control Theory and Applications,2000,147(3):321-329.
    [20] 趙志誠(chéng),文新宇. 內(nèi)??刂萍捌鋺?yīng)用[M]. 北京:電子工業(yè)出版社,2012.
    [21] SATOH T, SAITO N, NAGASE J Y, et al.An application of predictive functional control with a state observer-type internal model[C]//International Conference on Mechatronics & Machine Vision in Practice,2017:26-31.
    [22] GAWANMEH A, TAHAR S.Modeling and verification of firewall configurations using domain restriction method[C]//International Conference for Internet Technology & SecuredTransactions,2011:11-14.
    [23] ZHEN X P, LI Q S.The Application of Model PID or IMC-PID Advanced Process Control to Refinery and Petrochemical Plants[C]//Chinese Control Conference,2007:699-703.
    [24] RUPP D, GUZZELLA L.Iterative Tuning of Internal Model Controllers With Application t o Air/Fuel Ratio Control[J]. IEEE Transactions on Control Systems Technology,2010,18(1):177-184 .
    [25] LU Y S.Internal Model Control of Lightly Damped Systems Subject to Periodic Exogenous Signals[J]. IEEE Transactions on Control Systems Technology,2010,18(3):699-704.
    [26] LIU T, GAO F.New insight into internal model control filter design for load disturbance rejection[J]. IET Control Theory & Applications,2010,4(3):448-460.
    [27] RIVALS I, PERSONNAZ L.Nonlinear Internal Model Control Using Neural Networks: Application to Processes with Delay and Design Issues[J]. IEEE Transactions on Neural Networks,2000,11(1):80-90.
    [28] 華建興,席裕庚. 帶預(yù)估控制量二次約束的無(wú)靜差FIR型內(nèi)??刂破鱗J]. 控制理論與應(yīng)用,1999,16(4):492-495.
    [29] LEKKA A, TURNER M C, MENON P P. Full and reduced order IMC anti-windup compensators for a class of nonlinear systems with application to wave energy converter control[C]//Proceedings of the American Control Conference,2013:4861-4866.
    [30] DATTA A, OCHOA J.Adaptive internal model control:Design and stability analysis[J]. Automatica,1996,32(2):261-266.
    [31] 岳紅,高東杰,劉圣. 面向工業(yè)過(guò)程的魯棒PID控制器設(shè)計(jì)[J]. 自動(dòng)化學(xué)報(bào),1999,25(3):411-416.
    [32] 陳捷,王寧,王樹(shù)青. 汽油調(diào)合過(guò)程的神經(jīng)內(nèi)模優(yōu)化控制[J]. 控制理論與應(yīng)用,1999,16(4):532-535.
    [33] 邵偉,李曉寧,董明. 永磁同步電機(jī)伺服系統(tǒng)控制策略綜述[J]. 電氣自動(dòng)化,2013,35(1):1-3.
    [34] 蘇許兵. 基于ARM Cortex 的同步電機(jī)控制系統(tǒng)的研究[D]. 武漢:武漢理工大學(xué),2010.
    [35] 謝超藝,羅文廣,張午昀,等. 基于AD5435的永磁同步電機(jī)矢量控制系統(tǒng)仿真[J]. 廣西科技大學(xué)學(xué)報(bào),2015,26(2):8-13.
    [36] 曹林柏,趙宏革,張智遠(yuǎn),等. 一種永磁同步電動(dòng)機(jī)直接轉(zhuǎn)矩控制策略研究[J]. 微特電機(jī),2016,44(4):47-51.
    [37] 康輝民,陳小安,陳文曲,等.U /f 控制下高速電主軸的低頻電壓補(bǔ)償與負(fù)載特性分析[J]. 機(jī)械工程學(xué)報(bào),2011,47(9):132-138.
    [38] 陳強(qiáng),吳根忠,葉雷. 永磁同步電機(jī)變負(fù)載自適應(yīng)神經(jīng)網(wǎng)絡(luò)控制[J]. 新型工業(yè)化,2014,4(4):17-22.
    [39] 耿潔,陳振,劉向東,等. 永磁同步電機(jī)的自適應(yīng)逆控制[J]. 電工技術(shù)學(xué)報(bào),2011,26(6):51-55.
    [40] 李龍. 永磁同步電機(jī)模糊參數(shù)自整定控制系統(tǒng)研究[D]. 沈陽(yáng):沈陽(yáng)工業(yè)大學(xué),2013.
    [41] JIANG Y J, XU W, MU C X.Improved Deadbeat Predictive Current Control Combined Sliding Mode Strategy for PMSM Drive System[J]. IEEE Transactions on Vehicular Technology,2018,67(1):251-263.
    [42] ZHOU Y S, ZHU X R.Decoupling control of the rotor cross-coupling voltage for doubly-fed induction generator based on multiple degreefreedom internal model control[C]//Chinese Control & Decision Conference,2010:3158-3163.
    [43] 王冉珺,劉恩海. 小慣量永磁同步電機(jī)電流環(huán)內(nèi)模動(dòng)態(tài)解耦[J]. 微電機(jī),2012,45(10):79-82.
    [44] SHU X D, ZHUANG S X, GUAN X M, et al.Two degree-of-freedom PID control for AC PMSM[J]. Electric Drive,2009,39(12):54-56.
    [45] LIAW C M, LIN F J, KUNG Y S. Design and implementation of a high performance induction motor servo drive[J]. IEEE Proceedings B-Electric Power Applications,1993,140(4):241-248.
    [46] LI H W, ZHAO M, ZHENG G, et al. Double internal model control for permanent magnet synchronous motor vector control system[C]//IEEE Canadian Conference on Electrical and Computer Engineering,2016:1-4.
    [47] MA Q C, PING Z W, HUANG Y Z, et al. A control problem of PM synchronous motor by two-step internal model controller design[J].Asian Control Conference,2017,20(17):244-249.
    [48] SHANG W F.A Hybrid Internal Model Control Method for Switched Reluctance Motor Drives[J]. Advances in Intelligent and Soft Computing,2012,160:83-89.
    [49] LIU G H, CHEN L L, ZHAO W X, et al. Internal Model Control of Permanent Magnet Synchronous Motor Using Support Vector Machine Generalized Inverse[J]. IEEE Transactions on Industrial Informatics,2013,9(2):890-898.
    [50] YANG R, WANG M Y, ZHANG C M,et al.Robustness improvement of predictive current control for PMLSM integrating adaptive internal model with time delay compensation[C]//International Conference on Electrical Machines & Systems,2017:1-5.
    [51] 丁文雙,胡育文,魯文其,等. 永磁同步電機(jī)模糊PID參數(shù)自整定[J].  微特電機(jī),2011,39(5):17-21.
    [52] LIU G H, CHEN L L, DONG B B, et al.RBF Neural Network Application in Internal Model Control of Permanent Magnet Synchronous Motor[C]//8th International Symposium on Neural Networks,2011:68-76.
    [53] ZHOU W, YU M, QI D L.Iterative Learning Control Design with High-Order Internal Model for Permanent Magnet Linear Motor[C]//International Conference on Life System Modeling & Simulation & International Conference on Intelligent Computing for Sustainable Energy & Environment,2014:208-217.
    [54] HE Y Z, ZHENG S Q, FANG J C.Start-up current adaptive control for sensorless high-speed brushless DC motors based on inverse system method and internal mode controller[J]. Chinese Journal of Aeronautics,2017,30(1):358-367.
    [55] YU D M, GUO Q D, HU Q, et al.Enhanced Control of a Brushless DC Motor Using Fuzzy Internal Model Scheme[C]//EighthI nternational Conference on Electrical Machines & Systems,2005:1588-1590.
    [56] LI S H, GU H. Fuzzy Adaptive Internal Model Control Schemes for PMSM Speed-Regulation System[J]. IEEE Transactions on Industrial Informatics,2012,8(4):767-779.
    [57] SUN X D, SHI Z, CHEN L, et al. Internal Model Control for a Bearingless Permanent Magnet Synchronous Motor Based on Inverse System Method[J]. IEEE Transactions on Energy Conversion,2016,31(4):1539-1548. 
     

     

    亚洲无码av成人在线,亚洲影院AV无码一区二区,亚洲无码第二页,成人无码AV网站在线观看不卡 (function(){ var bp = document.createElement('script'); var curProtocol = window.location.protocol.split(':')[0]; if (curProtocol === 'https') { bp.src = 'https://zz.bdstatic.com/linksubmit/push.js'; } else { bp.src = 'http://push.zhanzhang.baidu.com/push.js'; } var s = document.getElementsByTagName("script")[0]; s.parentNode.insertBefore(bp, s); })();