A Morlet wavelet neural network-based online identification and control of coupled MIMO systems

被引：2
|
作者：
Varshney, Tarun [1 ]
Sheel, Satya [1 ]
机构：
[1] MotiLal Nehru Natl Inst Technol, Elect Engn Dept, Allahabad 211004, Uttar Pradesh, India
来源：
INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL | 2012年 / 6卷 / 3-4期
关键词：
quasi-diagonal wavelet neural network; QDWNN; MIMO system; PID-tuning; back propagation algorithm; BP algorithm;
D O I：
10.1504/IJAAC.2012.051883
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new approach has been developed for the control of a coupled, non-linear MIMO system. A quasi-diagonal wavelet neural network (QDWNN)-based online identification and control scheme for coupled, non-linear MIMO system is presented in this paper. The new algorithm is based on control error process and does not need accurate mathematical model of the system to be controlled. Firstly an online parameter-tuning algorithm for multivariable PID-controllers is described and then it has been tested for two model systems. Simulation results show that the proposed control scheme minimises mean square error (MSE) and mean absolute error (MAE) remarkably, with reduced control effort, without slowing down the rise time.
引用
收藏
页码：246 / 260
页数：15
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