Direct model reference adaptive internal model controller for DFIG wind farms with dither injection

Amuthan, N.

doi:10.1109/icpws.2009.5442663

Cited by 8 publications

(7 citation statements)

References 14 publications

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“…The basic structure of the adaptive conventional internal model control with robustness filter of DC motor is shown in figure 2 [31]. where:…”

Section: Adaptive Conventional Internal Model Control System Of DCmentioning

confidence: 99%

Adaptive Internal Model Control of a DC Motor Drive System Using Dynamic Neural Network

Zouari¹

2012

JSEA

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This work concerns the study of problems relating to the adaptive internal model control of DC motor in both cases conventional and neural. The most important aspects of design building blocks of adaptive internal model control are the choice of architectures, learning algorithms, and examples of learning. The choice of parametric adaptation algorithm for updating elements of the conventional adaptive internal model control shows limitations. To overcome these limitations, we chose the architectures of neural networks deduced from the conventional models and the Levenberg-marquardt during the adjustment of system parameters of the adaptive neural internal model control. The results of this latest control showed compensation for disturbance, good trajectory tracking performance and system stability

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“…The basic structure of the adaptive conventional internal model control with robustness filter of DC motor is shown in figure 2 [31]. where:…”

Section: Adaptive Conventional Internal Model Control System Of DCmentioning

confidence: 99%

Adaptive Internal Model Control of a DC Motor Drive System Using Dynamic Neural Network

Zouari¹

2012

JSEA

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“…[4] is over the three dimensions and (ii) Fig. [7] is over the two dimensions. This describes the precise global behavior of the parametric fluctuations over the entire intrinsic manifold (M 3 , g) for the limiting linear variable mismatch controllers Fig.…”

Section: Fluctuating Mismatch Controllersmentioning

confidence: 99%

“…[5]. Similar direct model reference adaptive controllers [6,7,8] are explored in diverse applications.…”

Section: Introductionmentioning

confidence: 99%

On Intrinsic Geometric Stability of Controller

Bellucci,

Tiwari,

Amuthan

et al. 2011

Preprint

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This work explores the role of the intrinsic fluctuations in finite parameter controller configurations characterizing an ensemble of arbitrary irregular filter circuits. Our analysis illustrates that the parametric intrinsic geometric description exhibits a set of exact pair correction functions and global correlation volume with and without the variation of the mismatch factor. The present consideration shows that the canonical fluctuations can precisely be depicted without any approximation. The intrinsic geometric notion offers a clear picture of the fluctuating controllers, which as the limit of the ensemble averaging reduce to the specified controller. For the constant mismatch factor controllers, the Gaussian fluctuations over equilibrium basis accomplish a well-defined, non-degenerate, flat regular intrinsic Riemannian surface. An explicit computation further demonstrates that the underlying power correlations involve ordinary summations, even if we consider the variable mismatch factor controllers. Our intrinsic geometric framework describes a definite character to the canonical power fluctuations of the controllers and constitutes a stable design strategy for the parameters.

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“…Direct model reference adaptive IMC (DMRAIMC) approach is first presented by Amuthan andSingh (2008, 2009). Also a fly wheel and motor generator, DVR, crowbar, STATCOM, shunt-connected synchronous machines and storage system like batteries are some of the techniques used to improve the fault ride-through (FRT).…”

Section: Introductionmentioning

confidence: 99%

“…Also a fly wheel and motor generator, DVR, crowbar, STATCOM, shunt-connected synchronous machines and storage system like batteries are some of the techniques used to improve the fault ride-through (FRT). Dither injection is a popular technique used in voltage sag ride-through and power quality improvement (Amuthan 2009). In this paper, the function of a DMRAIMC with rule-based adjustment mechanism (fuzzy logic) to control the rotor current of DFIG wind farms and to improve the performance during the occurrence of voltage sag is presented.…”

Section: Introductionmentioning

confidence: 99%

Ride-through and direct model reference adaptive internal model controller with rule-based adjustment mechanism for DFIG wind farms

Amuthan¹,

Mary²,

Subburaj

et al. 2012

International Journal of Sustainable Energy

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This paper presents a direct model reference adaptive internal model controller (DMRAIMC) for a doubly fed induction generator used in wind farms for voltage sag ride-through. The dynamic response of the machine under fault causes voltage sag which affects the behaviour of the machine. This phenomenon is simulated using MATLAB/SIMULINK and presented. Here, the DMRAIMC is developed and it is tuned using fuzzy rules, and fuzzy rules adjustment mechanism is used in this controller to exchange the reactive power during voltage sag. The d-and q-axis rotor currents are controlled directly with DMRAIMC to improve the reactive power exchange of the system. The performance is compared with the conventional DMRAIMC with MIT rule adjustment mechanism. The flexibility of the proposed method in shunt connection with grid is illustrated. NomenclatureV s stator voltage (V) R s stator resistance ( ) i s stator current (A) λ s stator flux (wb turns) V r rotor voltage (V) R r rotor resistance ( ) i r rotor current (A) λ r rotor flux (wb turns) 230 N. Amuthan et al. V ds stator direct-axis voltage (V) i ds stator direct-axis current (A) λ ds stator direct-axis flux (wb turns) V qs stator quadrature-axis voltage (V) i qs stator quadrature-axis current (A) λqs stator quadrature-axis flux (wb turns) V dr rotor direct-axis voltage (V) i dr rotor direct-axis current (A) λ dr rotor direct-axis flux (wb turns) V qr rotor quadrature-axis voltage (V) i qr rotor quadrature-axis current (A) λ qr rotor quadrature-axis flux (wb turns) L r leakage inductance (H) L m magnetizing inductance (H) L sl stator leakage inductance (H) L rl rotor leakage inductance (H) W o base speed (rad/s) W k speed of the reference frame (rad/s) W m rotor speed (rad/s) C capacitance (F) J inertia of the rotor (kg m 2 ) D active damping torque P d/dt (derivative function)

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Direct model reference adaptive internal model controller for DFIG wind farms with dither injection

Cited by 8 publications

References 14 publications

Adaptive Internal Model Control of a DC Motor Drive System Using Dynamic Neural Network

Adaptive Internal Model Control of a DC Motor Drive System Using Dynamic Neural Network

On Intrinsic Geometric Stability of Controller

Ride-through and direct model reference adaptive internal model controller with rule-based adjustment mechanism for DFIG wind farms

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