Control of a BDFIG Based on Current and Sliding Mode Predictive Approaches

Tchioffo, Alix Dountio; Fankem, Eric Duckler Kenmoe; Guidkaya, Golam; Kampel, Martin; Effa, Joseph Yves

doi:10.1007/s40313-020-00566-z

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…Invented in the mid-1980s at Oregon State University, the brushless doubly-fed induction motor (BDFIM) is a twinstator wound motor that has been extensively studied [8,9]. The BDFIM is an induction motor that can work in both asynchronous and synchronous modes, the latter being the best [10].…”

Section: Descriptionmentioning

confidence: 99%

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Literature review on the control of brushless doubly-fed induction machine

Ulrich Ngnassi Nguelcheu,

Ngasop Ndjiya,

Eric Duckler Kenmoe Fankem

et al. 2023

Global J. Eng. Technol. Adv.

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In recent years, dual-fed brushless asynchronous generators (BDFIG) have attracted considerable attention in variable-speed drive applications due to their simple and robust structure, good operating characteristics, and low maintenance requirements. The purpose of controlling dual-fed brushless induction generators is to achieve better performance. However, various control techniques applied to this machine have shown their limits in case of sudden fluctuations in rotor speed, relatively long response time, poor stability and high performance sensitivity to parameter fluctuations. Given its difficulty, research has focused on the most advanced technology in the world: artificial intelligence (AI). The main objective of this article is to list all the control techniques that have been applied to the BDFIG. It appears from our study that genetic algorithms as well as the multilayer perceptron have not yet been applied for the control of BDFIG.

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Section: Descriptionmentioning

confidence: 99%

“…The corresponding natural synchronous speed is then 750 rpm. BDFIG can be modeled in the Park reference frame by the following electrical equations [20,12]: (10) Expressions for the flux linkages of the two stator windings and the rotor are (Figure 1) [21]:…”

Section: Machine Modellingmentioning

confidence: 99%

Literature review on the control of brushless doubly-fed induction machine

Ulrich Ngnassi Nguelcheu,

Ngasop Ndjiya,

Eric Duckler Kenmoe Fankem

et al. 2023

Global J. Eng. Technol. Adv.

View full text Add to dashboard Cite

show abstract

“…Although a DFIG has a complex structure, prone to failure, it is still the most used structure in wind power systems due to its outstanding advantages. Therefore, there have been many research works put forth to improve the quality and performance of the system [6,[11][12][13][14][15][16]. The research on bifurcation and chaos for the DFIG system is very limited [17][18][19][20][21][22][23] and does not cover all the potential risks.…”

Section: Introductionmentioning

confidence: 99%

Chaos Control of Doubly-Fed Induction Generator via Delayed Feedback Control

Van

Hải

Quang

2023

Eng. Technol. Appl. Sci. Res.

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With the increasing wind power penetration, wind farms are directly influencing the power systems, so the need to improve the quality of the system is an open research topic. A Doubly-Fed Induction Generator (DFIG) is often used in wind power systems. However, DFIG has a complex structure and often works in harsh environments, so potential faults may occur. Faults can cause the system to fall into a chaotic working state, which is a harmful phenomenon for DFIG, since it makes the operating quality of the system worse, even leading to system destruction if not fixed on time. This study presents simulations of the chaotic phenomenon that occurs for a DFIG under specific working conditions based on Lyapunov’s exponents. The delay feedback controller is designed, and along with the selection of the appropriate controller parameters, the chaotic phenomenon is quickly eliminated, bringing the system back to stable operation.

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Adaptive fractional order control of doubly fed induction generator based wind energy conversion system under uncertainty

Delavari

Sharifi

2021

Journal of Renewable and Sustainable Energy

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Conventional fossil fuel sources are being reduced and simultaneously became more and more sources of considerable undesirable influences on the environment. In an attempt to expand renewable energy sources, wind energy is playing a significant role. A doubly fed induction generator as an alternative concept of different prevalent generators in wind power industry has a conspicuous efficiency improvement impact. There are nonlinear dynamics and many uncertainties in wind power plants, such as matched and mismatched disturbances and uncertainties of parameters. Designing a convenient controller to address these nonlinearities and uncertainties is a problematic task and has been the topic of much great research. Sliding mode control is a powerful nonlinear high-frequency switching controller, which has been widely applied. In a more specialized scope, combining fractional order calculus with controllers provides more degrees of freedom for responding to the demands of existing fractional dynamics of systems. To this regard, this paper presents an adaptive fractional-order terminal sliding mode controller to extract maximum energy from a wind turbine based doubly fed induction generator, which as the name of the controller implies is adaptive and robust against uncertainties, improves control accuracy, reduces chattering and mechanical stresses, and speeds up response time. A novel and unique sliding surface has been selected for this controller. Lumped uncertainties and switching control signal parameters have been estimated by adaptation laws. Maximized aerodynamic wind energy has been harvested by utilizing the proposed controller for the rotor side converter. The Lyapunov theorem is applied to guarantee the closed-loop system stability. Under normal conditions and in the presence of uncertainty and disturbance, the proposed method has been compared with SMC and a feedback linearization proportional integral controller.

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Control of a BDFIG Based on Current and Sliding Mode Predictive Approaches

Cited by 5 publications

References 33 publications

Literature review on the control of brushless doubly-fed induction machine

Literature review on the control of brushless doubly-fed induction machine

Chaos Control of Doubly-Fed Induction Generator via Delayed Feedback Control

Adaptive fractional order control of doubly fed induction generator based wind energy conversion system under uncertainty

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