High gain observer for speed-sensorless motor drives: Algorithm and experiments
Abstract
This paper considers the rotor speed and flux estimation for induction motors, which is one of the key problems in speed-sensorless motor drives. Existing approaches, e.g. adaptive, Kalman filter-based, and sliding mode observer, have limitations such as unnecessarily assuming the rotor speed as a constant parameter, failure to ensure convergence of estimation error dynamics, or conservative design. This paper proposes a non-triangular observable form-based estimation algorithm. This paper presents realizable observers to avoid transforming the induction motor model into the form. Advantages of the new estimation algorithm include guaranteed stability of estimation error dynamics, constructive observer design, ease of tuning, and improved speed estimation performance. Finally, experiments are conducted to demonstrate the effectiveness of the proposed estimation algorithm.
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The proposed robust HG-observer (13) is asymptotically stable in the presence of perturbations in original coordinates for high gains θ>1 and k_i>0.
“Eq. ( 13) is an asymptotically stable observer in the presence of perturbations in their original coordinates for high gains of > θ 1 and > k 0 i , as studied in the stability test in the Lyapunovian sense in ref. [36].”
From A turbidity sensor development based on NL-PI observers: Experimental application to the control of a Sinaloa’s River Spirulina maxima cultivation (2020) · cites this paper as [36]
δ(t) is asymptotically close to δ^(t).
“Since it is known by [36], ( ) ≈ δ t δ ˆis asymptotically close, and therefore, for Assumption 2: = ( ) + ( ) δ δ t β t ˆ:”
From A turbidity sensor development based on NL-PI observers: Experimental application to the control of a Sinaloa’s River Spirulina maxima cultivation (2020) · cites this paper as [36]
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Flores, G., Rodriguez-Mata, A. E., Amabilis-Sosa, L. E., Gonzalez-Huitron, V. A., Hernández-González, O., & Lopéz-Peréz, P. A. (2020) · Open Chemistry · doi:10.1515/chem-2020-0119 · Cited by 14 · see citing works
- Authors
- Wang, Y., Zhou, L., Bortoff, S. A., Satake, A., & Furutani, S.
- Affiliations
- Mitsubishi Electric Research Laboratories (United States) (US)
- Massachusetts Institute of Technology (US)
- Mitsubishi Electric (Japan) (JP)
- Venue
- 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)
- Publisher
- IEEE
- Published
- 2016-07
- Pages
- 1127-1132
- OpenAlex
- W2526771624
- Cited by
- 8
- References
- 0
- Citations by year
- 2021: 1 · 2020: 2 · 2019: 1 · 2018: 4
- FWCI
- 2.35
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Advanced Intelligent Mechatronics (AIM) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Sensorless Control of Electric Motors
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Motor Design and Analysis
- Keywords
- high-gain observer, induction motor, rotor speed estimation, rotor flux estimation, observer design, estimation error stability, motor drives
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