Spline adaptive inverse control scheme with filtered error feedback

The variable speed wind turbine generator exhibits serious nonlinearity, uncertainty and difficulty accurate modeling, conventional PID controller can't achieve ideal control effect. In this paper, an adaptive inverse control scheme based on neural network identification technology is proposed to solve the above problem. The scheme firstly uses online identification of one DRNN to obtain the Jacobian information of plant. On this basis, another DRNN identifies the inverse plant model which constitutes adaptive inverse control system as controller. The simulation results verify that the adaptive inverse control scheme has excellent adaptability and robustness, which can make the actual rotational speed of wind turbine rapidly track the set point to maintain the best tip-speed ratio in order to get maximum wind energy capture in the random wind conditions.

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Robustly l>inf<∞>/inf<-Stable Implementation of the Adaptive Inverse Control Scheme for Noise Cancelation

Proceedings of the 44th IEEE Conference on Decision and Control ◽

10.1109/cdc.2005.1583088 ◽

2006 ◽

Cited By ~ 1

Author(s):

N.O. Perez Arancibia ◽

Tsu-Chin Tsao

Keyword(s):

Adaptive Inverse Control ◽

Inverse Control ◽

Control Scheme ◽

Noise Cancelation

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An adaptive inverse control scheme for a synthetic jet actuator model

Proceedings of the 2005, American Control Conference, 2005. ◽

10.1109/acc.2005.1470367 ◽

2005 ◽

Cited By ~ 25

Author(s):

D. Deb ◽

Gang Tao ◽

J.O. Burkholder ◽

D.R. Smith

Keyword(s):

Synthetic Jet ◽

Adaptive Inverse Control ◽

Inverse Control ◽

Synthetic Jet Actuator ◽

Control Scheme

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Newton-Raphson Based Adaptive Inverse Control Scheme for Tracking of Nonlinear Dynamic Plants

2006 1st International Symposium on Systems and Control in Aerospace and Astronautics ◽

10.1109/isscaa.2006.1627534 ◽

2006 ◽

Cited By ~ 6

Author(s):

M. Shafiq ◽

T. Khan

Keyword(s):

Nonlinear Dynamic ◽

Adaptive Inverse Control ◽

Inverse Control ◽

Control Scheme ◽

Newton Raphson

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A new Technique for Position Control of Induction Motor Using Adaptive Inverse Control

Iraqi Journal for Electrical And Electronic Engineering ◽

10.37917/ijeee.6.2.6 ◽

2010 ◽

Vol 6 (2) ◽

pp. 116-122

Author(s):

Aamir Ahmed ◽

Martino Ajangnay ◽

Shamboul Mohamed ◽

Matthew Dunnigan

Keyword(s):

Induction Motor ◽

Position Control ◽

Open Loop ◽

Adaptive Inverse Control ◽

Loop Control ◽

Inverse Control ◽

Control Scheme ◽

Highly Nonlinear ◽

Dynamic Performances ◽

A New Technique

Control of Induction Motor (IM) is well known to be difficult owing to the fact the models of IM are highly nonlinear and time variant. In this paper, to achieve accurate control performance of rotor position control of IM, a new method is proposed by using adaptive inverse control (AIC) technique. In recent years, AIC is a very vivid field because of its advantages. It is quite different from the traditional control. AIC is actually an open loop control scheme and so in the AIC the instability problem cased by feedback control is avoided and the better dynamic performances can also be achieved. The model of IM is identified using adaptive filter as well as the inverse model of the IM, which was used as a controller. The significant of using the inverse of the IM dynamic as a controller is to makes the IM output response to converge to the reference input signal. To validate the performances of the proposed new control scheme, we provided a series of simulation results.

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