loading page

Online Adaptation of Two-Parameter Inverter Model in Sensorless Motor Drives
  • +3
  • Jiahao Chen ,
  • Jie Mei ,
  • Xin Yuan ,
  • Yuefei Zuo ,
  • Jingwei Zhu ,
  • Christopher H. T. Lee
Jiahao Chen
Nanyang Technological University, Nanyang Technological University

Corresponding Author:[email protected]

Author Profile
Yuefei Zuo
Author Profile
Jingwei Zhu
Author Profile
Christopher H. T. Lee
Author Profile


This paper designs parameter adaptation algorithms for online simultaneous identification of a two-parameter sigmoid inverter model for compensating inverter nonlinearity to reduce the voltage error in flux estimation for a position sensorless motor drive. The inverter model has two parameters, a2 and a3, where a2 is “plateau voltage”, and a3 is a shape parameter that mainly accounts for the stray capacitor effect. Parameter a3 is identified by the (6k ± 1)-th order harmonics in measured current. Parameter a2 is identified by the amplitude mismatch of the estimated active flux. It is found that the classic linear flux estimator, i.e., the hybrid of voltage model and current model, cannot be used for a2 identification. This paper proposes to use a saturation function based nonlinear flux estimator to build an effective indicator for a2 error. The coupled identifiability of the two parameters is revealed and analyzed, which was not seen in literature. The concept of the low current region where the two-way coupling between a2 and a3 occurs is established. In theory, it is suggested to stop the inverter identification in the low current region. However, the experimental results in which dc bus voltage variation and load change are imposed, have shown the effectiveness of the proposed online inverter identification and compensation method, even in low current region.
Oct 2022Published in IEEE Transactions on Industrial Electronics volume 69 issue 10 on pages 9860-9871. 10.1109/TIE.2021.3139173