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

2006 ◽  
Author(s):  
N.O. Perez Arancibia ◽  
Tsu-Chin Tsao
Keyword(s):  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Control Scheme ◽  
Noise Cancelation

Spline adaptive inverse control scheme with filtered error feedback

2021 ◽  
Author(s):  
Liangdong Yang ◽  
Jinxin Liu ◽  
Qian Zhang ◽  
Ruqiang Yan ◽  
Xuefeng Chen
Keyword(s):  
Error Feedback ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Control Scheme ◽  
Filtered Error

Maximum Wind Energy Capturing of Wind Turbine Generator Based on Adaptive Inverse Controller

2014 ◽  
Vol 494-495 ◽  
pp. 1825-1828
Author(s):  
Wan Zhao Wang ◽  
Jie Wang
Keyword(s):  
Wind Energy ◽  
Wind Turbine ◽  
Speed Ratio ◽  
Control Effect ◽  
Turbine Generator ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Wind Turbine Generator ◽  
Maximum Wind ◽  
Control Scheme

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.

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

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.

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

2010 ◽  
Vol 6 (2) ◽  
pp. 116-122
Author(s):  
Aamir Hashim Obeid Ahmed ◽  
Martino O. Ajangnay ◽  
Shamboul A. Mohamed ◽  
Matthew W. Dunnigan
Keyword(s):  
Induction Motor ◽  
Position Control ◽  
New Technique ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
A New Technique

scholarly journals A New Solution to Adaptive Inverse Control

1991 ◽  
Vol 24 (1) ◽  
pp. 35-40
Author(s):  
A. Farhang-Boroujeny ◽  
K. Ayatollahi
Keyword(s):  
Adaptive Inverse Control ◽  
Inverse Control
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