Adaptive Inverse Control Synthesis Subject to Sinusoidal Disturbance for Non-Minimum Phase Plant via FVSS-NLMS Algorithm

2021 ◽  
Author(s):  
Rodrigo Possidonio Noronha
Keyword(s):  
Control Synthesis ◽  
Minimum Phase ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Nlms Algorithm ◽  
Sinusoidal Disturbance

Adaptive Inverse Control of Hydro Electric Unit Based on Wavelet Neural Networks

2012 ◽  
Vol 591-593 ◽  
pp. 1200-1203
Author(s):  
Zhong Liao ◽  
Bin Yuan Ye
Keyword(s):  
Neural Networks ◽  
Control Method ◽  
Phase System ◽  
Minimum Phase ◽  
Wavelet Neural Networks ◽  
Adaptive Inverse Control ◽  
New Approach ◽  
Inverse Control ◽  
Unit System ◽  
Phase Systems

Due to the nonlinear, time-variable and non-minimum phase character of hydro electric unit system integrated with water, motor and power, a new adaptive inverse control method of hydro electric unit based on the function approximation ability of the wavelet analysis and the learning characteristic of neural network is presented. The algorithm and formulas and method of adaptive inverse control is studied. It approximates the model and its inversion of hydro electric unit by wavelet neural networks(WNN), and then through constructing an aim function of broad sense, which is effective to the nonlinear non-minimum phase system. Theory and simulation to for hydro electric unit system demonstrate that the control strategy can more effective improve the dynamic and stationary performance than those based on neural networks. It gives a new approach in control for hydro electric unit system besides offer a beneficial reference to the control of non-minimum phase systems.

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

Research of the 3-DOF Helicopter System Based on Adaptive Inverse Control

2013 ◽  
Vol 389 ◽  
pp. 623-631 ◽  
Author(s):  
Xiu Yan Wang ◽  
Ying Wang ◽  
Zong Shuai Li
Keyword(s):  
Neural Network ◽  
Flight Control ◽  
Fuzzy Inference ◽  
Reference Model ◽  
Back Propagation ◽  
Back Propagation Algorithm ◽  
Actual System ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Network Connection

For the flight control problem occurred in 3-DOF Helicopter System, reference adaptive inverse control scheme based on Fuzzy Neural Network model is designed. Firstly, fuzzy inference process of identifier and controller is achieved by using the network structure. Meanwhile, the neural network connection weights are used to express parameters of fuzzy inference. Then, back-propagation algorithm is adopted to amend the network connection weights in order to automatically identify the fuzzy model and adjust its membership functions and parameters, so that the actual system output of adaptive inverse controller control which is adjusted can track the reference model output. Finally, the simulation result of 3-DOF Helicopter System based on the scheme shows that the method is effective and feasible.

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