Design of a DC Motor based Wind Turbine Emulator using Sliding Mode Control Approach

Balaji, M.; Sarangi, Sougat Kumar; Pattnaik, Monalisa

doi:10.1109/icesip46348.2019.8938228

Cited by 5 publications

(7 citation statements)

References 5 publications

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“…The aforementioned modeling is used to design a DC motor-based WTE to replicate a field WT characteristics. 25,26 The small-scale WTs (1-15 kW) with swept area of less than 200 m 2 are employed in residential areas. 27 Here, the PMSG is commonly employed as wind generator because of its self excitation capability, low geared or gearless structure, and able to generate power even under low wind speed operation with large number of poles.…”

Section: Modeling Of Wind Turbinementioning

confidence: 99%

Design, analysis, and adaptive maximum power point tracking control of small‐scale wind turbine system

Balaji

Pattnaik

Srungavarapu

2023

Circuit Theory & Apps

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Summary Due to the stochastic and unpredictable nature of wind speed, extraction of maximum power from the wind turbine system becomes an attractive control objective. Therefore, to capture more wind power, various conventional maximum power point tracking (MPPT) schemes are developed for standalone small‐scale variable speed wind power generation system (VSWPGS). This manuscript proposes novel adaptive step size (ASS) and drift‐free ASS (DF‐ASS) MPPT methods for a permanent magnet synchronous generator (PMSG)‐based VSWPGS. The control schemes achieve maximum power point (MPP) without using mechanical sensors like speed encoder and anemometer. The proposed MPPT controllers are implemented on a laboratory‐scale DC motor‐PMSG‐based wind power generation system (WPGS) using OPAL‐RT real‐time digital platform. The ASS and DF‐ASS methods capture more power, reduce the steady‐state power oscillation around MPP, and improve the tracking speed. Also, the proposed DF‐ASS control scheme avoids drift phenomenon during wind speed increase condition. The comparative experimental results of proposed ASS and DF‐ASS methods with respect to the fixed step size MPPT schemes show better dynamic and steady‐state performance, making it pertinent for small‐scale WPGS.

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Section: Modeling Of Wind Turbinementioning

confidence: 99%

Design, analysis, and adaptive maximum power point tracking control of small‐scale wind turbine system

Balaji

Pattnaik

Srungavarapu

2023

Circuit Theory & Apps

Self Cite

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“…whereω m andî a are the observed velocity and observed armature current, respectively; l 1 is a constant; and v = M sign î a − i a is a discontinuous input with the observation error of the armature current as argument [23]. The observation error system is obtained from (10) and (11) where the observation error variables are defined asω m =ω m − ω m and i a =î a − i a . Then, this system is:…”

Section: Motor Velocity Observer Designmentioning

confidence: 99%

“…In [9], a simple closed loop control based on the hysteresis band is presented. Fuzzy logic control techniques and first-order sliding modes are used in [10,11], respectively. Additionally, a classical PI control has been widely used to regulate the DC motor velocity [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Sensorless Robust Velocity Controller Applied to a DC-Motor for Emulating a Wind Turbine

et al. 2021

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The wind power systems of variable velocity using a doubly-fed induction generator dominate large-scale electrical generation within renewable energy sources. The usual control goal of the wind systems consists of maximizing the wind energy capture and streamlining the energy conversion process. In addition, these systems are an intermittent energy source due to the variation of the wind velocity. Consequently, the control system designed to establish a reliable operation of the wind system represents the main challenge. Therefore, emulating the operation of the wind turbine by means of an electric motor is a common strategy so that the controller design is focused on the induction generator and its connection to the utility grid. Thus, we propose to emulate the dynamical operation of a wind turbine through a separately excited DC motor driving by a sensor-less velocity controller. This controller is synthesized based on the state-feedback linearization technique combined with the super-twisting algorithm to set a robust closed-loop system in the presence of external disturbances. A robust velocity observer is designed to estimate the rotor velocity based on the armature current measuring. Furthermore, a robust differentiator is designed for estimating the time derivative of the velocity error variable, achieving a reduction in the computational calculus. Experimental tests were carried using a separately excited DC motor coupled with a dynamometer to validate the proposed wind turbine emulator.

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“…The used hardware emulator is made of a controlled DC motor which is connected mechanically to the DFIG shaft, which in turn takes its supply from the same DC bus voltage shared with the DFIG rotor inverter (Figure 8) [24][25][26].…”

Section: Wte Design and Implementation Figure 8 Schematic Of The Proposed Wtementioning

confidence: 99%

“…Tg is the load torque or the DFIG electromagnetic torque and Tt is the aerodynamic torque. G is the gear speed ratio [19,24].…”

Section: Wte Dynamic Modelmentioning

confidence: 99%

Real-Time Emulation of a Grid-Connected Wind Energy Conversion System Based Double Fed Induction Generator Configuration under Random Operating Modes

Zouheyr¹,

Baghli²,

Boumédiène³

2021

EJEE

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This paper presents the design, modeling, simulation and the experimental implementation of a 1.5 kW relatively low-cost wind energy conversion system (WECS) based on the double fed induction generator (DFIG) configuration. In the preliminary experiments, we test the DFIG power control under fixe speed by applying the vector control principle, then we insert the physical emulator presented in the controlled DC motor in order to simulate the static-dynamic behaviors of a real wind turbine with the use of the Tip Speed Ratio TSR based MPPT algorithm to extract the maximum available power on the emulator. The proposed structure is simulated using MATLAB Simulink environment, the obtained results are validated experimentally on our laboratory setup. We also develop an application with MATLAB AppDesigner that calculates the operating point of our system at steady state and visualize the power transfer, current, voltage and electromagnetic torque values of the DFIG and the DC motor before starting the stimulation or the experimental manipulation. The MPPT, the DC motor control and the DFIG power control algorithms are implanted in C, embedded on a dSPACE DS1104 control board. The obtained results confirm the reliability of the proposed WECS to manage all the probable operating modes, also the effectiveness of the physical simulator in the role of wind turbine emulation.

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Design of a DC Motor based Wind Turbine Emulator using Sliding Mode Control Approach

Cited by 5 publications

References 5 publications

Design, analysis, and adaptive maximum power point tracking control of small‐scale wind turbine system

Design, analysis, and adaptive maximum power point tracking control of small‐scale wind turbine system

Real-Time Sensorless Robust Velocity Controller Applied to a DC-Motor for Emulating a Wind Turbine

Real-Time Emulation of a Grid-Connected Wind Energy Conversion System Based Double Fed Induction Generator Configuration under Random Operating Modes

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