Intelligent control of a brushless doubly-fed induction generator

Tir, Zoheir; Malik, O.P.; Hashemnia, Mohammad Naser

doi:10.1007/s13198-019-00772-2

Cited by 8 publications

(9 citation statements)

References 15 publications

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“…The above relationship can be satisfied by using a synchronous approach in the startup phase [16]. The BDFIG exhibits a stable behavior after reaching a synchronous operating mode, and then the rotor speed can be easily controlled by controlling the frequency of the windings [17,18]. The rotor speed at which the CW angular frequency is zero is defined as the natural angular frequency ω n , and expressed as…”

Section: Machine Modellingmentioning

confidence: 99%

“…For the system studied in this paper, the grid frequency is taken to be 50 Hz and the number of pole-pairs of PW and CW are selected to be one and three, respectively, in accordance with [17,12]. The corresponding natural synchronous speed is then 750 rpm.…”

Section: Machine Modellingmentioning

confidence: 99%

“…Compared with vector control, direct torque control is a simpler control strategy because it does not require a mathematical model of the machine [17]. Instead, it controls the machine's torque directly based on stator and rotor currents.…”

Section: Direct Torque Controlmentioning

confidence: 99%

“…The membership functions used for the input and output fuzzy sets using Mamdani approach [17,53,54]. The results of their work show that a fuzzy PID controller can provide a very attractive solution for wind energy conversion systems using the BDFIG (Figure 23).…”

Section: Figure 22mentioning

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: Machine Modellingmentioning

confidence: 99%

Section: Machine Modellingmentioning

confidence: 99%

Section: Direct Torque Controlmentioning

confidence: 99%

Section: Figure 22mentioning

confidence: 99%

See 2 more Smart Citations

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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“…Therefore, research on the fault detection of WECSs has practical significance. At present, the research objectives of WECSs are mainly focused on single components, such as a blade pitch [1][2] , doubly fed induction generator [3][4] , or permanent magnet synchronous generator [5] . The research targets of fault detection are mainly focused on a variety of models, such as a permanent magnet synchronous motor drives [6] , polytopic linear parameter-varying system [7] , heterogeneous multiagent LPV system [8] , linear discrete time-varying system [9] , and T-S fuzzy system with local nonlinear models [10] .…”

Section: Introductionmentioning

confidence: 99%

Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVO

Zhao

Shen

2020

IEEE Access

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This paper studies an improved set-valued observer (SVO) for a complex model of a wind energy conversion system (WECS). To fit reality, an unknown function is used to describe the aerodynamic model, and a delay of the input signal is added to simulate the actual situation. The conservative SVO estimates the state error convergence within an adjustable interval. The extended Lipschitz condition, setinduced theory, and uniformly ultimately boundedness guarantees the convergence of errors. Based on the SVO, a fault detection system and corresponding fault detection strategies for common faults of WECSs are proposed. By adjusting the gain matrix L , the SVO shows excellent state tracking performance. The simulation results show that the proposed fault detection system can provide rapid and accurate fault detection.

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