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Sensorless control method of induction motors with new feedback gain matrix and speed adaptive law for low speed range

  • Leilei Guo EMAIL logo , Shuai Wang ORCID logo , Yanyan Li , Xueyan Jin and Zhiyue Chu
Published/Copyright: July 15, 2024

Abstract

The conventional adaptive full-order observer-based speed sensorless control method for induction motor is prone to instability at low-speed region as improper feedback gain matrix and imprecise speed adaptive law are often used. To address these problems, a new feedback gain matrix design approach as well as a new speed adaptive law design technique are proposed in this paper. Firstly, considering that the d-axis current estimation error in the traditional feedback gain matrix design method has a great influence on the stability of the speed estimation algorithm, especially at low speeds, a new feedback gain matrix design method is proposed to minimize the d-axis current estimation error. Secondly, a new speed adaptive law design technique is studied based on the conventional method, which only requires the d-axis and q-axis current estimation error with a weight coefficient to be designed, simplifying the conventional speed adaptive law. Thirdly, the transfer function from the speed observation error to the proposed adaptive error is analyzed by Routh stability criterion theory, and the weight coefficient suitable for full range stable operation is determined by MATLAB software. Fourthly, the stability of the proposed method in this paper is analyzed using the poles distribution maps. Finally, the proposed method is experimentally verified based on a 2.2 kW induction motor experimental platform. The experimental results show that the proposed method can make the induction motor operate steadily at low-speed and zero-speed region with rated load. In addition, the proposed method has better anti-disturbance performance than the existing method.


Corresponding author: Leilei Guo, Zhengzhou University of Light Industry, Zhengzhou 450002, China, E-mail:

Award Identifier / Grant number: 232102241026

Award Identifier / Grant number: 242300421074

Award Identifier / Grant number: 241111242300

Award Identifier / Grant number: 241111210400

  1. Research ethics: The local Institutional Review Board deemed the study exempt from review.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: This work was supported in part by the Scientific and Technological Project (https://kjt.henan.gov.cn/) in Henan Province (232102241026), in part by the Outstanding Youth Science Foundation (https://kjt.henan.gov.cn/) of Henan Province (242300421074), and in part by Henan Province Key R&D Project ([https://kjt.henan.gov.cn/], 241111210400, 241111242300).

  5. Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2024-01-10
Accepted: 2024-06-27
Published Online: 2024-07-15

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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