A Proposal of Project of PI controller gains used on the Control of Doubly-Fed Induction Generators

Murari, Andre L. L. F.; Altuna, José Alberto Torrico; Jacomini, Rogerio Vani; Osorio, Carlos Mario Rocha; Chaves, Juan Sebastián Solís; Filho, Alfeu J. Sguarezi

doi:10.1109/tla.2017.7854609

Cited by 28 publications

(3 citation statements)

References 7 publications

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“…Hence, the stator power can be manipulated by controlling the rotor current as: Likewise, expressions for active P and reactive Q powers of the stator in this synchronous frame, are given by (7) and (8), in this way:…”

Section: Double-fed Induction Generator Modelmentioning

confidence: 99%

“…In most cases, these gains are tuned by heuristic rules, which neglect the mathematical model, and thus, the performance of the controller may be affected due to this shortcoming [6]. To improve this weakness, Murari et al [7] designed a method for PI gains with admissible performance. Moreover, other alternatives that can be found in the literature, such as the linear quadratic Gaussian (LQG) method [8], using a linear model or the nonlinear sliding mode controller as shown in [9].…”

Section: Introductionmentioning

confidence: 99%

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Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control

Lunardi

Chaves

et al. 2022

Energies

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This paper shows an increase in the robustness of a DFIG-based wind energy system when a predictive-repetitive controller in the dq reference frame is used for the control of the rotor current. This designing approach proposes a model predictive control with a receding horizon technique that uses the frequency decomposition of the reference signal as a filter. Furthermore, an augmented space-state model from the original plant model is obtained, and its implementation is addressed from the perspective of normal operating conditions of DFIG in wind energy systems. Additionally, this repetitive controller increases the robustness of the predictive control when a mismatch in machine parameters is considered. Experimental results presented in this paper endorse the advantages of this controller.

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Section: Double-fed Induction Generator Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control

Lunardi

Chaves

et al. 2022

Energies

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show abstract

“…The performance of the power flow can be increased by using control strategies, such as Stator Flux Oriented (SFO) or Stator Voltage Oriented (SVO) [12]. These strategies allow the control of active (P) and reactive (Q) powers of the stator that are injected into the grid by adjusting the rotor current, by means of Proportional Integral (PI) [16], predictive [17], deadbeat [7,18], or sliding mode [19] controllers.…”

Section: Introductionmentioning

confidence: 99%

Analysis of a Control System for DFIG Wind Generators Based on the Transmission of Power References through a GSM Wireless Network: A Smart Grid Experimental Approach

et al. 2019

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This work proposes the use of the automatic Short Message Service (SMS) of a Global System for Mobile Communication (GSM) network to transmit the control information to a Doubly Fed Induction Generator (DFIG) of a wind turbine, according to the Smart Grid (SG) concept. In the proposed strategy, the Control Center (CC) can remotely transmit the required power references (active and reactive) to the DFIG controller, in order to manage the power generation of the wind turbine dynamically. The proposed wireless network was developed in a Software Defined Radio (SDR) transceiver connected to an OpenBTS platform. The control information can be directly inserted in the Open Base Transceiver Station (OpenBTS) server (located at the CC) or sent by a wireless device (e.g., mobile phone) connected to the GSM network, and then transmitted to the wireless receiver at the wind turbine. The receiver on the turbine side was developed in a microcontroller board with a GSM card, and the DFIG controller was implemented in a Digital Signal Processor (DSP) board. The results of the tests showed that the DFIG can be satisfactorily controlled according to the power references, considering that they vary at low rates.

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Electromagnetic Analysis of a DFIG‘s Controlled Operation Using Finite Elements Method

Murari,

Solís-Chaves,

Pelizari

et al. 2023

Green Energy and Technology

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A Proposal of Project of PI controller gains used on the Control of Doubly-Fed Induction Generators

Cited by 28 publications

References 7 publications

Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control

Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control

Analysis of a Control System for DFIG Wind Generators Based on the Transmission of Power References through a GSM Wireless Network: A Smart Grid Experimental Approach

Electromagnetic Analysis of a DFIG‘s Controlled Operation Using Finite Elements Method

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