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Speed fluctuation suppression based on an adaptive periodic disturbance observer for an inverter compressor


Meng, F and Li, Z and Sun, X and Wen, X and Negnevitsky, M and You, L, Speed fluctuation suppression based on an adaptive periodic disturbance observer for an inverter compressor, Energies, 13, (19) Article 5014. ISSN 1996-1073 (2020) [Refereed Article]


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Copyright 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (

DOI: doi:10.3390/en13195014


Repetitive operations have been extensively used in the inverter compressor refrigeration industry. The approximately periodic disturbance caused by repetitive operations must be compensated to realize stable and high-efficiency operation. In this paper, a periodic disturbance observer (PDOB) is proposed to tackle the speed fluctuation of an inverter compressor in the low-frequency range. Periodic disturbance, consisting of a fundamental wave and corresponding harmonics, can thus be estimated and compensated; in addition, sensitivity and complementary sensitivity can reach a compromise through the use of a certain parameter. Aiming at a different operation environment, an adaptive notch filter based on the Steiglitz–McBride method is employed to estimate the fundamental frequency of periodic disturbance. Finally, the feasibility of our approach is verified by MATLAB simulation, and experiments are implemented to illustrate that speed fluctuation can be more effectively attenuated by the proposed method in comparison with general DOB.

Item Details

Item Type:Refereed Article
Keywords:periodic disturbance observer, inverter compressor, speed fluctuation, frequency adaptiveness
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy efficiency
Objective Field:Industrial energy efficiency
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:142983
Year Published:2020
Deposited By:Engineering
Deposited On:2021-02-18
Last Modified:2021-03-30
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