Induction Motors Speed Estimation by Rotor Slot Harmonics Frequency Using Zoom Improved Chirp-Z Transform Algorithm

Mahamadou Negue Diarra, Xuyang Zhao, Xuandong Wu, Isaac Adjei Nketsiah, Yonggang Li and Haisen Zhao
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Mahamadou Negue Diarra: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Xuyang Zhao: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Xuandong Wu: Wolong Electric Nanyang Explosion Group Co., Ltd., Nanyang 473000, China
Isaac Adjei Nketsiah: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Yonggang Li: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Haisen Zhao: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Energies, 2022, vol. 15, issue 21, 1-15

Abstract: This paper analyzes the digital signal processing techniques and estimates induction motor (IM) rotational speed operating in stationary or non-stationary conditions. Rotor slot harmonics present in the stator current waveform are used to estimate the induction motor speed with a given or identified rotor slot numbers. This paper’s contribution is the following: First, zoom improved short-time Chirp-Z transform is used to find supply frequency and the rotor slot harmonic frequency to improve the estimation accuracy without increasing computing complexity. Second, a technique is described that can be used to determine whether or not a motor can generate principal slot harmonics (PSH). Finally, an algorithm is designed to figure out the perfect window length and estimate the motors’ speed. This proposed technique was investigated when the motor was fed by an inverter-fed supply driving a variable load and operating in non-stationary conditions. Experimental test results on 5.5 kW and 22 kW induction motors have confirmed the correctness of this method.

Keywords: induction motor (IM); speed estimation; signal processing; spectral analysis; DFT; zoom improved short-time Chirp-Z transform (ZISTCZT) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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