Accurate MRAS Embedded Minimum Copper-Loss Based Controller for WRIG Coupled With Variable Speed Wind Turbine

Sensorless control of the wound rotor induction generator (WRIG) using the model reference adaptive system (MRAS) technique is an attractive option in wind energy generation schemes. However, the accuracy of MRAS under variable wind speed situations is a major issue as the rotor current of the WRIG...

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Main Authors: Adikanda Parida, Manish Paul, Debashis Chatterjee
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10233860/
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author Adikanda Parida
Manish Paul
Debashis Chatterjee
author_facet Adikanda Parida
Manish Paul
Debashis Chatterjee
author_sort Adikanda Parida
collection DOAJ
description Sensorless control of the wound rotor induction generator (WRIG) using the model reference adaptive system (MRAS) technique is an attractive option in wind energy generation schemes. However, the accuracy of MRAS under variable wind speed situations is a major issue as the rotor current of the WRIG continuously changes. To address this issue, in this paper, a simple MRAS model has been developed considering the air-gap reactive power of the WRIG as the adaptable variable for the computation of the WRIG rotor position. The accuracy of the proposed model is comparatively high and almost insensitive to the machine parameter variation of the generator. The maximum rotor position estimation error is found to be 0.009 (rad.) for a 50% variation of the magnetizing inductance of the WRIG. Thus, the model is comparatively reliable. Also, the optimized efficiency operation of the WRIG is another major issue in terms of maintenance cost and life expectancy of the WRIG. Therefore, to address this issue, a minimum copper-loss-based control technique has been developed and presented in this paper for rotor side converter control (RSC) of the WRIG. It has been observed that the proposed control technique improves by 1% efficiency in comparison to similar types of other controllers. The proposed MRAS model has been embedded with the proposed RSC controller to improve the accuracy in control and the efficiency of the wind energy generation system. The proposed system is implemented with appropriate simulations and hardware using a wound rotor induction machine of 2.5kW, and a dSPACE CP1104 modulation device, which produces acceptable results.
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spelling doaj.art-ac89a4edda944b3eac3356048544342d2023-09-04T23:02:00ZengIEEEIEEE Access2169-35362023-01-0111933939340110.1109/ACCESS.2023.330978510233860Accurate MRAS Embedded Minimum Copper-Loss Based Controller for WRIG Coupled With Variable Speed Wind TurbineAdikanda Parida0https://orcid.org/0000-0002-5274-0110Manish Paul1https://orcid.org/0000-0001-8500-1448Debashis Chatterjee2https://orcid.org/0000-0003-2961-9061Department of Electrical Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, IndiaDepartment of Electrical Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, IndiaDepartment of Electrical Engineering, Jadavpur University, Kolkata, IndiaSensorless control of the wound rotor induction generator (WRIG) using the model reference adaptive system (MRAS) technique is an attractive option in wind energy generation schemes. However, the accuracy of MRAS under variable wind speed situations is a major issue as the rotor current of the WRIG continuously changes. To address this issue, in this paper, a simple MRAS model has been developed considering the air-gap reactive power of the WRIG as the adaptable variable for the computation of the WRIG rotor position. The accuracy of the proposed model is comparatively high and almost insensitive to the machine parameter variation of the generator. The maximum rotor position estimation error is found to be 0.009 (rad.) for a 50% variation of the magnetizing inductance of the WRIG. Thus, the model is comparatively reliable. Also, the optimized efficiency operation of the WRIG is another major issue in terms of maintenance cost and life expectancy of the WRIG. Therefore, to address this issue, a minimum copper-loss-based control technique has been developed and presented in this paper for rotor side converter control (RSC) of the WRIG. It has been observed that the proposed control technique improves by 1% efficiency in comparison to similar types of other controllers. The proposed MRAS model has been embedded with the proposed RSC controller to improve the accuracy in control and the efficiency of the wind energy generation system. The proposed system is implemented with appropriate simulations and hardware using a wound rotor induction machine of 2.5kW, and a dSPACE CP1104 modulation device, which produces acceptable results.https://ieeexplore.ieee.org/document/10233860/Model reference adaptive systemoptimum efficiencysensorless controlwound rotor induction generator
spellingShingle Adikanda Parida
Manish Paul
Debashis Chatterjee
Accurate MRAS Embedded Minimum Copper-Loss Based Controller for WRIG Coupled With Variable Speed Wind Turbine
IEEE Access
Model reference adaptive system
optimum efficiency
sensorless control
wound rotor induction generator
title Accurate MRAS Embedded Minimum Copper-Loss Based Controller for WRIG Coupled With Variable Speed Wind Turbine
title_full Accurate MRAS Embedded Minimum Copper-Loss Based Controller for WRIG Coupled With Variable Speed Wind Turbine
title_fullStr Accurate MRAS Embedded Minimum Copper-Loss Based Controller for WRIG Coupled With Variable Speed Wind Turbine
title_full_unstemmed Accurate MRAS Embedded Minimum Copper-Loss Based Controller for WRIG Coupled With Variable Speed Wind Turbine
title_short Accurate MRAS Embedded Minimum Copper-Loss Based Controller for WRIG Coupled With Variable Speed Wind Turbine
title_sort accurate mras embedded minimum copper loss based controller for wrig coupled with variable speed wind turbine
topic Model reference adaptive system
optimum efficiency
sensorless control
wound rotor induction generator
url https://ieeexplore.ieee.org/document/10233860/
work_keys_str_mv AT adikandaparida accuratemrasembeddedminimumcopperlossbasedcontrollerforwrigcoupledwithvariablespeedwindturbine
AT manishpaul accuratemrasembeddedminimumcopperlossbasedcontrollerforwrigcoupledwithvariablespeedwindturbine
AT debashischatterjee accuratemrasembeddedminimumcopperlossbasedcontrollerforwrigcoupledwithvariablespeedwindturbine