Power‐control and speed‐control modes of a DFIG using adaptive sliding mode type‐2 neuro‐fuzzy for wind energy conversion system

Moradi, Hassan; Yaghobi, Hamid; Alinejad‐Beromi, Yousef; Bustan, Danyal

doi:10.1049/iet-rpg.2019.1270

Cited by 13 publications

(5 citation statements)

References 34 publications

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“…An integral SMC method based on numerical solution of a state-dependent Ricatti equation is suggested in [20] for nonlinear feedback control of WECSs with PMSGs. In [21], an adaptive SMC type-2 neuro-fuzzy approach is presented for speed-and power-regulation of DFIG. Reference [22] recommends a robust nonlinear control design scheme for the voltage/frequency control of variable-speed stand alone WECS.…”

Section: B Literature Reviewmentioning

confidence: 99%

PID-type terminal sliding mode control for permanent magnet synchronous generator based enhanced wind energy conversion systems

2021

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The provision of wind farm (WF) grid-codes (GC) in sustaining grid operations has become imperative, especially for WFs with permanent-magnet synchronous generator (PMSG) wind energy conversion system. Numerous techniques are developed for executing GC requirements in the event of grid faults. Among the methods, an intriguing strategy is to enhance the performance of back-to-back (BTB) converter controllers. In this research, the P ID-type terminal sliding mode control (P ID−TSMC) scheme is implemented for both machine-side and grid-side converter modified controllers of BTB-converter, to reinforce the nonlinear relationship among the state-variable and control input. The application of this control scheme decreases the response time and improves the robustness of the BTBconverter controllers to parameters uncertainty and external disturbances. The grid-side converter tracks the maximum power point, contributing to the generator active power output rapid decrease during faults. This frees up converter capacity for injecting GC-compliant reactive current into grid. Besides, the machine-side converter regulates dc-link voltage, in which its variations during external disturbances decrease substantially with the P ID−TSMC. The discussions over the simulations contemplate on the robustness and efficiency of the implemented P ID−TSMC strategy in comparison to other BTB-converter control strategies.

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Section: B Literature Reviewmentioning

confidence: 99%

PID-type terminal sliding mode control for permanent magnet synchronous generator based enhanced wind energy conversion systems

2021

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“…Saleh M. and Hassan M. et al proposed a comprehensive control method including the fusion of the sliding-mode method and type-2 neuro-fuzzy systems to control the speed of the induction motor (or the doubly fed induction generator). The analysis and comparison results indicated that the adaptive sliding-mode type-2 neuro-fuzzy controller can control the induction motor (or the doubly fed induction generator) with higher performance (compared with type-1 neuro-fuzzy systems) [17,18]. However, the speed fluctuation of the induction motor still existed, and the reaction time of the motor was not analyzed in detail.…”

Section: Introductionmentioning

confidence: 99%

Research on the dq-Axis Current Reaction Time of an Interior Permanent Magnet Synchronous Motor for Electric Vehicle

Huang

Chen

Wang

2023

WEVJ

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An interior permanent magnet synchronous motor (IPMSM) is a kind of drive motor with high power density that is suitable for electric vehicles. In this paper, the dq-axis current reaction time of IPMSM was investigated in order to improve the reaction time of the electric vehicle. Firstly, the mathematical model of the current-loop decoupling of IPMSM was presented. Secondly, the controller design of dq-axis current-loop decoupling of IPMSM was investigated by the methods of proportional integral (PI) and internal model control PI (IMC-PI). Thirdly, based on the methods of PI and IMC-PI, the influence of the inverter switching frequency on the dq-axis current reaction time of IPMSM was analyzed and simulated, and it was found that the inverter switching frequency only had a significant influence on the parameters set of the PI controller. Lastly, compared with the PI method, the results of the simulation and hardware experiment demonstrate that the dq-axis current reaction time of IPMSM was improved by the IMC-PI method, and the IMC-PI method had the advantage of simple parameters setting and was not influenced by the inverter switching frequency.

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“…13,14 Several scientific works have been developed recently to outperform this problem. 15,16 Among all the proposed solutions, the sliding mode control (SMC), proposed by Utkin in 1977, has been strongly used. 17,18 This technique has shown its great efficiency and robustness in the field of rotating machine control.…”

Section: Introductionmentioning

confidence: 99%

“…However, such linear control strategies have a significant sensitivity to the model parameter variations and have a low robustness to external disturbance 13,14 . Several scientific works have been developed recently to outperform this problem 15,16 . Among all the proposed solutions, the sliding mode control (SMC), proposed by Utkin in 1977, has been strongly used 17,18 .…”

Section: Introductionmentioning

confidence: 99%

Third‐order super‐twisting control of a double stator asynchronous generator integrated in a wind turbine system under single‐phase open fault

Guettab

Bounadja

Boudjema

et al. 2022

Circuit Theory & Apps

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Power‐control and speed‐control modes of a DFIG using adaptive sliding mode type‐2 neuro‐fuzzy for wind energy conversion system

Cited by 13 publications

References 34 publications

PID-type terminal sliding mode control for permanent magnet synchronous generator based enhanced wind energy conversion systems

PID-type terminal sliding mode control for permanent magnet synchronous generator based enhanced wind energy conversion systems

Research on the dq-Axis Current Reaction Time of an Interior Permanent Magnet Synchronous Motor for Electric Vehicle

Third‐order super‐twisting control of a double stator asynchronous generator integrated in a wind turbine system under single‐phase open fault

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