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Motor Torque Measurement Using Dual-Function Radar Polarized Signals of Flux

B. Chinthamani1,*, N. S. Bhuvaneswari2, R. Senthil Kumar3, N. R. Shanker4

1 Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, 600089, India
2 Department of Electrical and Electronics Engineering, GKM College of Engineering and Technology, Chennai, 600063, India
3 Department of Electrical and Electronics Engineering, Saveetha Engineering College, Chennai, 602105, India
4 Department of Computer Science and Engineering, Aalim Muhammed Salegh College of Engineering, Chennai, 600055, India

* Corresponding Author: B. Chinthamani. Email: email

Intelligent Automation & Soft Computing 2022, 34(1), 515-530.


Motor Torque (MT) measurement plays a vital role for evaluating the performance of squirrel cage induction motor during operating conditions. Accurate and continuous measurements of MT provide information regarding driving load capacity, performance degradation of motor, reduces downtime and increases the efficiency. Traditional inline torque sensors-based measurement becomes inaccurate during abrupt change in load during starting condition of motor due to torque spikes. Mounting of torque sensor on motor is a major problem during torque measurement. Improper mounting of sensor acquires signals from other inefficient driveline components such as gearbox, couplings, and bearing. In this paper, we propose a non-contact method for MT measurement using dual-function ultra-wide band radar sensor and called as motor torque- design for reliability (MT-DFR) method, which measures torque through and air gap magnetic flux. Torque is orthogonal to air gap flux density. Air gap flux varies with motor speed, different load, and supply voltage. Dual-function ultra-wide band radar sensor signal reflect from Air gap flux and polarized. Polarized signals of Dual-function ultra-wide band radar process with multi-synchro squeezing transform (MSST) and obtain Instantaneous Frequency (IF) of air gap magnetic flux. MSST provides better representation of reconstructed signal with higher concentration for oscillatory electromagnetic waves. MT measured from IF of MSST and Gaussian process regression. Proposed method of MT measurement performs in different loading conditions such as such as no load, static and transient load conditions, and induced torque spikes. The proposed MT-DFR method predicts the torque with 98.10% accuracy compared to traditional method and ground truth verified.


Cite This Article

B. Chinthamani, N. S. Bhuvaneswari, R. Senthil Kumar and N. R. Shanker, "Motor torque measurement using dual-function radar polarized signals of flux," Intelligent Automation & Soft Computing, vol. 34, no.1, pp. 515–530, 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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