考虑总漏感随频率变化的异步电机参数离线辨识算法
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摘要
针对电机转子的鼠笼结构会导致总漏感随电流频率的不同而发生变化给激磁电感和转子电阻的测量带来偏差的问题,提出了一种离线辨识电机参数的算法。采用直流实验结合最小二乘法辨识定子电阻,采用低频交流实验辨识激磁电感和转子电阻,且激磁电感和转子电阻的辨识无需电机总漏感参数,从而消除了转子漏感参数变化给辨识带来的影响。另外,辨识算法辨识逆变器的非线性压降模型并对逆变器压降进行补偿以提高算法精度,激磁电感的辨识在不同激磁水平下进行以得到电机的激磁曲线。在TMS320F28035实验平台上实现辨识算法,验证了算法的辨识精度。
In order to analyze the problem that the leakage inductance varies with current frequency because of the deep bar effect in squirrel-caged rotor that leads to the measured deviation of magnetizing inductance and rotor resistance,an offline parameter estimation algorithm for induction motors was proposed. Stator resistance was measured through DC test with the least square method while magnetizing inductance and rotor resistance were measured through low-frequency AC test. The proposed method eliminates the influence result from leakage inductance variation by identifying the magnetizing inductance and rotor resistance without the requirement of leakage inductance. Furthermore,the proposed algorithm identifies the nonlinear voltage drop on inverter and compensates for the voltage drop on inverter automatically to ensure the estimation precision. The magnetizing curve of induction motor is also obtained by estimating the magnetizing inductance under different levels of magnetizing. The effectiveness of the proposed estimation algorithm is validated on the platform of TMS320 F28035.
In order to analyze the problem that the leakage inductance varies with current frequency because of the deep bar effect in squirrel-caged rotor that leads to the measured deviation of magnetizing inductance and rotor resistance,an offline parameter estimation algorithm for induction motors was proposed. Stator resistance was measured through DC test with the least square method while magnetizing inductance and rotor resistance were measured through low-frequency AC test. The proposed method eliminates the influence result from leakage inductance variation by identifying the magnetizing inductance and rotor resistance without the requirement of leakage inductance. Furthermore,the proposed algorithm identifies the nonlinear voltage drop on inverter and compensates for the voltage drop on inverter automatically to ensure the estimation precision. The magnetizing curve of induction motor is also obtained by estimating the magnetizing inductance under different levels of magnetizing. The effectiveness of the proposed estimation algorithm is validated on the platform of TMS320 F28035.
引文
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[13]LIN Y N,CHEN C L.Automatic IM parameter measurement under sensorless field-oriented control[J].IEEE Transactions on Industrial Electronics,1999,46(1):111.
[14]徐飞,史黎明,李耀华.一种自适应补偿死区的异步电机参数测量方法[J].电机与控制学报,2012,16(10):1.XU Fei,SHI Liming,LI Yaohua.Measurement of induction motor parameters by adaptive compensation for dead-time effect[J].Electric Machines and Control,2012,16(10):1.
[15]PERETTI L,ZIGLIOTTO M.Automatic procedure for induction motor parameter estimation at standstill[J].Electric Power Applications,IET,2012,6(4):214.
[2]张杰,柴建云,孙旭东,等.基于参数在线校正的电动汽车异步电机间接矢量控制[J].电工技术学报,2014,29(7):90-96,103.ZHANG Jie,CHAI Jianyun,SUN Xudong,et al.Indirect vector control of induction motor drives for electric vehicles based on parameters on-line tunning[J].Transactions of China Electrotechnical Society,2014,29(7):90-96,103.
[3]徐奇伟,宋立伟,崔淑梅.感应电机矢量控制中转子参数自适应辨识[J].电工技术学报,2011,26(6):81.XU Qiwei,SONG Liwei,CUI Shumei.Induction motor vector control based on adaptive identification of rotor parameters[J].Transactions of China Electrotechnical Society,2011,26(6):81.
[4]刘艳,齐晓燕.感应电机龙伯格—滑模观测器参数辨识方法[J].电机与控制学报,2011,15(8):93.LIU Yan,QI Xiaoyan.An Luenberger-sliding mode observer parameter identification for induction motors[J].Electric Machines and Control,2011,15(8):93.
[5]顾绳谷.电机及拖动基础(上册)[M].北京:机械工业出版社,2007:152-154.
[6]贺艳晖,王跃,王兆安.异步电机参数离线辨识改进算法[J].电工技术学报,2011,26(6):73.HE Yanhui,WANG Yue,WANG Zhao’an.An improved off-line parameter identification algorithm for induction motors[J].Transactions of China Electrotechnical Society,2011,26(6):73.
[7]SCHIERLING H.Self-commissioning-a novel feature of modern inverter-fed induction motor drives[C]//Third International Conference on Power Electronics and Variable-Speed Drives,IET,1988:287-290.
[8]KERKMAN R J,THUNES J D,ROWAN T M,et al.A frequency-based determination of transient inductance and rotor resistance for field commissioning purposes[J].IEEE Transactions on Industry Applications,1996,32(3):577.
[9]BERTOLUZZO M,BUJA G S,MENIS R.Inverter voltage dropfree recursive least-squares parameter identification of a PWM inverter-fed induction motor at standstill[C]//Proceedings of the IEEE International Symposium on Industrial Electronics,1997,2:649-654.
[10]陈伟,于泳,徐殿国,等.基于自适应补偿的异步电机静止参数辨识方法[J].中国电机工程学报,2012,32(6):156.CHEN Wei,YU Yong,XU Dianguo,et al.Parameters estimation of induction motor at standstill with adaptive nonlinearity compensation[J].Proceedings of the CSEE,2012,32(6):156.
[11]KWON Y S,LEE J H,MOON S H,et al.Standstill parameter identification of vector-controlled induction motors using the frequency characteristics of rotor bars[J].IEEE Transactions on Industry Applications,2009,45(5):1610.
[12]ZHENG J,WANG Y,QIN X,et al.An offline parameter identification method of induction motor[C]//7th World Congress on Intelligent Control and Automation,WCICA 2008,IEEE,2008:8898-8901.
[13]LIN Y N,CHEN C L.Automatic IM parameter measurement under sensorless field-oriented control[J].IEEE Transactions on Industrial Electronics,1999,46(1):111.
[14]徐飞,史黎明,李耀华.一种自适应补偿死区的异步电机参数测量方法[J].电机与控制学报,2012,16(10):1.XU Fei,SHI Liming,LI Yaohua.Measurement of induction motor parameters by adaptive compensation for dead-time effect[J].Electric Machines and Control,2012,16(10):1.
[15]PERETTI L,ZIGLIOTTO M.Automatic procedure for induction motor parameter estimation at standstill[J].Electric Power Applications,IET,2012,6(4):214.