Paper Info
Title
Adaptive Nonlinear Model Inversion Control of a Twin Rotor System Using Artificial Intelligence
Abstract
The paper investigates the development of an adaptive dynamic nonlinear model inversion control law for a twin rotor MIMO system (TRMS) utilizing artificial neural networks and genetic algorithms. The TRMS is an aerodynamic test rig representing the control challenges of modern air vehicles. A highly nonlinear 1DOF mathematical model of the TRMS is considered in this study and a nonlinear inverse model is developed for the pitch channel. In the absence of model inversion errors, a genetic algorithm-tuned PD controller is used to enhance the tracking characteristics of the system. An adaptive neural network element is integrated thereafter with the feedback control system to compensate for model inversion errors. In order to show the effectiveness of the proposed method in the simulation environment an inversion error has deliberately been provided as an uncertainty in the real situation. Square and sinusoidal reference command signals are used to test the control system performance, and it is noted that an excellent tracking response is exhibited in the presence of inversion errors caused by model uncertainty.
Year
DOI
Venue
2007
10.1109/CCA.2007.4389347
Singapore
Keywords
Field
DocType
MIMO systems,PD control,adaptive control,aircraft control,feedback,genetic algorithms,neurocontrollers,nonlinear control systems,rotors,PD controller,adaptive dynamic nonlinear model inversion control,adaptive neural network,aerodynamic test rig,air vehicles,artificial intelligence,artificial neural networks,feedback control system,genetic algorithms,twin rotor MIMO system
Nonlinear system,PID controller,Computer science,Control theory,Inversion (meteorology),Control engineering,Rotor (electric),Inversion of control,Control system,Adaptive control,Artificial neural network
Conference
ISSN
ISBN
Citations 
1085-1992
978-1-4244-0443-8
1
PageRank 
References 
Authors
0.39
3
3
Name
Order
Citations
PageRank
A. Rahideh1293.92
M. Hasan Shaheed210.39
Abdulrahman H. Bajodah352.26