High Performance Sensorless Controlled PMSM Drive with Long Cable for Subsea Applications

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dc.contributor.advisorRajashekara, Kaushik
dc.contributor.committeeMemberKrishnamoorthy, Harish S.
dc.contributor.committeeMemberHuang, Hao
dc.contributor.committeeMemberChen, Jiefu
dc.contributor.committeeMemberFan, Lei
dc.contributor.committeeMemberSelvaraj, Goutham
dc.creatorSingh, Virendra
dc.creator.orcid0000-0001-6177-9642
dc.date.accessioned2024-01-27T17:58:20Z
dc.date.createdDecember 2023
dc.date.issued2023-12
dc.date.updated2024-01-27T17:58:21Z
dc.description.abstractThe increasing interest in subsea oil and gas as an energy source has led to a demand for highly efficient and reliable motors and their control. These motors are essential components of subsea applications like drilling, pumping, and boosting, which are necessary to extract natural gas and oil. The Permanent Magnet (PM) motors, known for their higher efficiency and high-power density, are increasingly preferred over traditional induction motors in these applications. It is important to consider that subsea systems, characterized by the inclusion of a sinewave filter, transformer, and long cable experience several control challenges. The voltage drops are a common issue across these components, while the passive elements of the sinewave filter specifically introduce magnitude & phase shifts, and the transformer is susceptible to core saturation problems. This dissertation presents innovative sensorless control strategies for PM motors to address the complexities associated with subsea system components. These strategies address the full spectrum of operational speeds while considering the constraints imposed by the sinewave filter, transformer, and the long cable. The sensorless starting of a PM motor is one of the key control challenges under heavy loads due to resistive voltage drops across the system components and transformer core saturation. In this thesis, an enhanced Volts-per-Hertz (V/Hz) control strategy that compensates for voltage drops and avoids transformer core saturation, ensuring reliable startup even under substantial loads is proposed. Moreover, the issue of temporary reverse speed at startup is another challenge that can cause the loss of synchronism. This has been addressed by incorporating an Initial Position Detection (IPD) methodology paired with V/Hz and a voltage compensation technique to accurately estimate the rotor's initial position to start the motor without speed reversal. Additionally, the accuracy of the closed-loop sensorless vector control highly depends on the system parameters. To address this, a Model Reference Adaptive System (MRAS) based online parameter estimation technique is incorporated to adjust the control variables while the motor is in operation. A multi-loop sensorless vector control technique is also employed to mitigate the effect of the sinewave filter, ensuring the system's stability. The final control scheme relies on High-Frequency Signal Injection (HFSI) based position estimation to start the motor in a closed-loop vector control from zero speed. The HFSI-based estimation technique must also account for various challenges associated with the sinewave filter and cable. As a low-pass sinewave filter is connected at the inverter terminal, which necessitates the careful selection of the injection frequency to prevent loss of signal information. The effectiveness of these control strategies for PM motors is validated through controller hardware in the loop (C-HIL) real-time simulations using Typhoon HIL-604 and Texas Instruments digital signal processor.
dc.description.departmentElectrical and Computer Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.citationPortions of this document appear in: V. Singh, M. G. Majumder, K. Rajashekara and R. P. R. Siddavatam, "Parameter Estimation for Sensorless Position Control of PMSM Drives with Long Cable in Subsea Applications," 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), Himeji, Japan, 2022, pp. 384-388, doi: 10.23919/IPEC-Himeji2022-ECCE53331.2022.9806949; and in: V. Singh, M. G. Majumder, K. Rajashekara and S. R. P. Reddy, "Parameter estimation for sensorless position control of PMSM drives with long cables in subsea applications", IEEJ Journal of Ind. Appl. Article ID 22007153 Advance online publication, November 2022, [online] Available: https://doi.org/10.1541/ieejjia.22007153, ISSN 2187-1108; and in: V. Singh, G. Selvaraj and K. Rajashekara, "Enhanced Volts-per-Hertz Starting of Permanent Magnet Motor with Heavy Loads in Long Cable Subsea Applications," 2023 IEEE International Electric Machines & Drives Conference (IEMDC), San Francisco, CA, USA, 2023, pp. 1-7, doi: 10.1109/IEMDC55163.2023.10239053.
dc.identifier.urihttps://hdl.handle.net/10657/16233
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. UH Libraries has secured permission to reproduce any and all previously published materials contained in the work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectSensorless Control of Permanent Magnet Motor
dc.subjectMotor Drive for Subsea Applications
dc.subjectOnline Parameters Estimation
dc.subjectHigh Frequency Signal Injection.
dc.titleHigh Performance Sensorless Controlled PMSM Drive with Long Cable for Subsea Applications
dc.type.dcmitext
dc.type.genreThesis
dcterms.accessRightsThe full text of this item is not available at this time because the student has placed this item under an embargo for a period of time. The Libraries are not authorized to provide a copy of this work during the embargo period.
local.embargo.lift2025-12-01
local.embargo.terms2025-12-01
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentElectrical and Computer Engineering, Department of
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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