A High-Performance Pll Observer for Sensorless Three-Phase Induction Motor Control

Emerson G. Carati; Felipe S. D. Sant; Diego D. Pinheiro

doi:10.18618/REP.2022.4.0019

Authors

Emerson G. Carati Universidade Tecnológica do Paraná (UFTPR), Campus Pato Branco – Paraná, Brazil
Felipe S. D. Sant Universidade Tecnológica do Paraná (UFTPR), Campus Pato Branco – Paraná, Brazil
Diego D. Pinheiro Universidade Tecnológica do Paraná (UFTPR), Campus Pato Branco – Paraná, Brazil

DOI:

https://doi.org/10.18618/REP.2022.4.0019

Keywords:

Field-oriented control, Induction machine, Phase-Locked Loop, Speed control, Speed Sensorless

Abstract

This paper presents an enhanced estimation algorithm based on the PLL (phase-locked loop) approach, which is used to estimate the rotor speed in induction motors (IM) drives. It can be challenging to obtain an accurate estimate during frequency ramps using existing PLL schemes. Thus, the performance of PLL schemes can be degraded during the acceleration and deceleration operations when applied to motor drives. In addition, the performance of conventional PLL scheme estimation is negatively affected by disturbances, for example, DC offsets. One of the novelties of the proposed speed observer (HPPO - High-Performance PLL Observer) is error normalization, which is based on the currents and a mechanism of variable gain based on the reference speed. The reference speed is also used to build an additional feedforward adjustment action. These modifications improve estimator results during load insertions and at low rates. In order to validate the proposed HPPO algorithm, it is implemented experimentally in a laboratory prototype using a 2.2kW IM. The motor is driven by a three-phase pulse width modulation (PWM) power converter, which is controlled by a DSP TMS320F28069. Numerical analysis and experimental results are carried out to validate the proposed scheme's high performance.

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Author Biographies

Emerson G. Carati, Universidade Tecnológica do Paraná (UFTPR), Campus Pato Branco – Paraná, Brazil

born in 1974 in Palmitinho, Brazil. He received the B. S. degree (1996), the Master degree (1999) and PhD degree (2003) in Electrical Engineering from Federal University of Santa Maria (UFSM), Brazil. Since 2003, he is with the Federal University of Technology - Paraná (UTFPR),Pato Branco where he is Titular Professor. His research interests are related to control of electrical machines drives, distributed power generation and static converters.

Felipe S. D. Sant, Universidade Tecnológica do Paraná (UFTPR), Campus Pato Branco – Paraná, Brazil

born in 1996 in Sarandi, Brazil. He currently works as a data scientist and is a master’s student in electrical engineering at the Federal University of Santa Catarina (UFSC). He holds a degree in electrical engineering from UTFPR, Pato Branco. He is interested in the areas of digital signal processing, machine learning and computer vision.

Diego D. Pinheiro, Universidade Tecnológica do Paraná (UFTPR), Campus Pato Branco – Paraná, Brazil

born in 1991 in Foz do Iguaçu, Brazil. He received the B.Sc and M.Sc. degrees from the Federal University of Technology - Paraná (UTFPR), Pato Branco, Brazil, 2014 and 2016, respectively all in Electrical Engineering. He is currently a Ph.D student in electrical and computer engineering from State University of Campinas (UNICAMP), Campinas, Brazil. His main interests are in the field of control of electrical drives, power electronics, renewable energy, predictive and sensorless control of electrical drives, and artificial neural networks.

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