Robust Neural Network Multivariable Identification of a Twin Rotor MIMO System

被引：1
|
作者：
Osorio-Arteaga, Felipe [1 ]
Sanchez, Nathalie [1 ]
Giraldo, Eduardo [1 ]
机构：
[1] Univ Tecnol Pereira, Res Grp Automat Control, Pereira, Colombia
来源：
2023 IEEE 6TH COLOMBIAN CONFERENCE ON AUTOMATIC CONTROL, CCAC | 2023年
关键词：
Neural Network; Adaline; robust identification; multivariable system; ADAPTIVE TRACKING CONTROL; NONLINEAR-SYSTEMS;
D O I：
10.1109/CCAC58200.2023.10333397
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In view of having adaptive controllers for nonlinear systems that do not take into account external disturbances and all degrees of freedom of the system, this paper proposes a robust identification and control-based neural network method for a Twin Rotor Multivariable System (TRMS) using a recursive adaptive descendent gradient algorithm adagrad in discrete time. The neural network identification is performed online and the TRMS is controlled under a polynomial structure by pole placement. The method results obtained by MATLAB simulations are evaluated in terms of estimation and tracking error in the presence of external disturbances and sinusoidal reference signals.
引用
收藏
页码：56 / 60
页数：5
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