Parameter Identification and Self-Commissioning in AC Motor Drives: A Technology Status Review

被引:116
|
作者
Odhano, Shafiq Ahmed [1 ]
Pescetto, Paolo [2 ]
Awan, Hafiz Asad Ali [3 ]
Hinkkanen, Marko [3 ]
Pellegrino, Gianmario [2 ]
Bojoi, Radu [2 ]
机构
[1] Univ Nottingham, Dept Elect & Elect Engn, Nottingham NG7 2RD, England
[2] Politecn Torino, Dept Energy, I-10129 Turin, Italy
[3] Aalto Univ, Dept Elect Engn & Automat, FI-00076 Aalto, Finland
关键词
Control; induction motor drives; parameter estimation; permanent magnet machines; synchronous motor drives; variable speed drives; MAGNET SYNCHRONOUS MACHINES; INDUCTION-MOTOR; GENETIC ALGORITHM; MAXIMUM TORQUE; INDUCTANCES; STANDSTILL; SENSITIVITY; POSITION; MODEL; PERFORMANCE;
D O I
10.1109/TPEL.2018.2856589
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In high-performance control of ac machines through variable frequency drives, the knowledge of machine parameters plays a decisive role. The accuracy with which machine parameters can be known is directly related to the time and effort put during the testing and commissioning process. In the ever-demanding industrial environments, the time spent on parameter identification translates into loss of production. To reduce commissioning times, research in this direction has focused on automatizing the identification procedure without loss of accuracy. This paper reviews different lines of research adopted over the past few decades for machine parameter identification. Parameter estimation of ac machines is considered because of their widespread applications from servomechanisms to traction to aviation. The surveyed works include self-commissioning schemes that have become an integral part and a salient feature of modern electric drives. This feature enables the drives to automatically identify machine parameters and tune the control loops.
引用
收藏
页码:3603 / 3614
页数:12
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