Research on fault diagnosis and position synthesize technology of resolver suitable for servo motor control
Research on fault diagnosis and position synthesize technology of resolver suitable for servo motor control
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): L. Ren 1 ; S. Sun 1 ; C. Xiao 1 ; Z. Li 1 ; H. Song 1
-
-
View affiliations
-
Affiliations:
1:
The Servo Technology R&D Center , Beijing Research Institute of Precise Mechatronic Controls , Beijing, China
Source:
CSAA/IET International Conference on Aircraft Utility Systems (AUS 2020),
2021
p.
244 – 249
-
Affiliations:
1:
The Servo Technology R&D Center , Beijing Research Institute of Precise Mechatronic Controls , Beijing, China
- Conference: CSAA/IET International Conference on Aircraft Utility Systems (AUS 2020)
- DOI: 10.1049/icp.2021.0469
- ISBN: 978-1-83953-419-5
- Location: Online Conference
- Conference date: 18-21 September 2020
- Format: PDF
Based on the fact that the servo motor control requires high reliability of resolver, this paper studies the fault diagnosis mechanism based on the integrated resolver decoder chip AD2S1210, and conclude that the excitation, sine, cosine signal and the fault output signals are susceptible when used for fault diagnosis which leads to a high false alarm rate. At the same time, the disturbance of the decoded value may cause a certain deviation in the detection of the resolver position when a false alarm occurs, which directly affects the accuracy of the servo motor control. From the perspective of application, this paper proposes a resolver fault diagnosis and position synthesis algorithm based on information fusion and model prediction. Based on the AD2S1210 fault detection, this algorithm uses information fusion and model prediction methods to detect resolver faults and predict position so as to reduce the position fluctuations when a false alarm occurs. The algorithm is simulated and then tested on an experimental system. The test data is compared with the fault diagnosis data based on AD2S1210 fault detection before the improvement. The results show that: after executing the algorithm, the false alarm rate is reduced to a certain extent, and the position meanwhile is smoother than before. This algorithm does not need additional system hardware cost, and can also be realized and integrated in the motor control software. The software consumes less resources and has higher engineering application value.
Inspec keywords: control engineering computing; servomotors; fault diagnosis; control system synthesis
Subjects: Control system analysis and synthesis methods; Control engineering computing; Signal processing and detection; Other topics in statistics; Computer vision and image processing techniques