Fractional-Order PI Controller for DFIG-Based Marine Tidal Current Applications

Chen, Hao; Chen, Xiyang; Xie, Wei

doi:10.1109/peac.2018.8590526

Cited by 2 publications

(5 citation statements)

References 14 publications

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“…To control the active and reactive power without coupling, DFIG is generally defined in the synchronously d-q frame. Consequently, the model in the d-q coordinate axis of the stator is described in (6) [21,63].…”

Section: Dfig Modelingmentioning

confidence: 99%

“…Consequently, according to the automatic control theory, the settling time t se of this second-order system can be approximated in (14) for ±5% error bandwidth [39,64,66]. Then, the parameters k pe and k ie are deduced in (15) subsequently [63].…”

Section: Current Loopmentioning

confidence: 99%

“…At present, the mainly used methods include optimization method, dominant pole algorithm, phase-and-amplitude-margin method, etc. [45,63,76,77].…”

Section: Design Of Fopi Controllermentioning

confidence: 99%

“…If the gain crossover frequency ω c and the phase margin γ c are determined, the controller parameters can be easily achieved according to the tuning rules. The parameter tuning process is detailed in the following steps [56][57][58]63,78,79].…”

Section: Design Of Fopi Controllermentioning

confidence: 99%

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Fractional-Order PI Control of DFIG-Based Tidal Stream Turbine

Chen

Xie

Chen

et al. 2020

JMSE

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This study mainly investigates the current and speed control strategies of a doubly-fed induction generator (DFIG), which is applied to a tidal stream turbine (TST). Indeed, DFIG using integer-order PI (IOPI) controller has been widely proposed in the applications with a similar system, especially in wind energy conversion system (WECS). However, these conventional controllers cannot deal with the problems caused by the parameter variations satisfactorily under complex and harsh operation conditions, and may even deteriorate the performance. As a result, a fractional-order PI (FOPI) controller is considered to improve the efficiency and performance of DFIG-based TST in this paper. The FOPI controller, developed from the traditional IOPI controller and the fractional calculus theory, has a lot of prominent merits in many aspects, such as robustness, stability, and dynamic performance. In this paper, the proposed control strategies are embedded into the whole TST model which contains the tidal stream turbine, and the generator. The obtained simulation results demonstrate the prominent effectiveness and advantages of the proposed strategies compared with the conventional IOPI controller in terms of overshoot, static error, adjustment time, and robustness. It implies that FOPI controller could be a good candidate in TST applications.

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Section: Dfig Modelingmentioning

confidence: 99%

Section: Current Loopmentioning

confidence: 99%

“…At present, the mainly used methods include optimization method, dominant pole algorithm, phase-and-amplitude-margin method, etc. [45,63,76,77].…”

Section: Design Of Fopi Controllermentioning

confidence: 99%

Section: Design Of Fopi Controllermentioning

confidence: 99%

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Fractional-Order PI Control of DFIG-Based Tidal Stream Turbine

Chen

Xie

Chen

et al. 2020

JMSE

Self Cite

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“…The difference between the actual and simulated (estimated) output power of the wind system is an indication of the failure of the lubrication system. Additionally, two different methods are suggested in [30] to control the asynchronous generator, in which the first is an integer-order PI controller and the second is a fractional-order PI (FOPI) controller. The study compares these two methods in terms of dynamic response, ripple ratio for effective power, and THD value of electric current for doubly-fed induction generator (DFIG)-based marine tidal current applications.…”

Section: Introductionmentioning

confidence: 99%

Application of Fractional-Order PI Controllers and Neuro-Fuzzy PWM Technique to Multi-Rotor Wind Turbine Systems

et al. 2022

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In recent years, the methods of controlling electrical machines have been witnessing increasing development to reduce torque and electric current fluctuations in electrical power generation systems from renewable sources such as wind energy. The generation of electric power from wind plants imposes the need for an efficient and more robust method in order to obtain fewer ripples in active and reactive power. In this work, a new fractional-order proportional-integral (FOPI) controller and intelligent PWM (IPWM) technique are proposed to control an existing asynchronous generator (AG) in variable-speed multi-rotor wind turbines (VSMRWTs). This proposed method depends on combining or using two methods, namely nonlinear area and fractional calculus, to obtain a more robust method and to reduce current and torque ripples. In the framework of this study, the electric power generation system consists of a 1.5 MW AG and VSMRWTs. The AG is controlled using a simpler and easily accomplished method called direct vector control, based on FOPI controllers and the IPWM technique (DVC-FOPI-IPWM). The maximum power point tracking (MPPT) method is used to generate the maximum energy from the VSMRWTs. The proposed DVC-FOPI-IPWM technique is modeled in the Matlab/Simulink platform to obtain good quality current and active power. Simulation results show that the proposed strategy reduces the ripples of torque, current, and active power compared to the classical technique. Moreover, the reduction ratio is about 85%, 99%, and 93.33% for the current, active power, and torque, respectively.

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Fractional-Order PI Controller for DFIG-Based Marine Tidal Current Applications

Cited by 2 publications

References 14 publications

Fractional-Order PI Control of DFIG-Based Tidal Stream Turbine

Fractional-Order PI Control of DFIG-Based Tidal Stream Turbine

Application of Fractional-Order PI Controllers and Neuro-Fuzzy PWM Technique to Multi-Rotor Wind Turbine Systems

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