Neural-Adaptive Control of Waste-to-Energy Steam Generators

被引：7

作者：

Takaghaj, Sanaz Mahmoodi ^{[1
]}

Macnab, Chris J. B. ^{[1
]}

Westwick, David ^{[1
]}

Boiko, Igor ^{[1
]}

机构：

[1] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada

来源：

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2014年 / 22卷 / 05期

关键词：

Adaptive control; Cerebellar model articulation controller; Lyapunov stability; neural networks; nonlinear control; utility boiler; waste-to-energy generation; BOILER; DESIGN;

D O I：

10.1109/TCST.2013.2292818

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Steam generators offer a challenging control problem, exhibiting significant nonlinearities in both state and output equations. Here we consider a boiler heated by waste-gas incineration, modeled as a standard utility boiler using one known and one unknown (waste) fuel input. A nonlinear adaptive control design accounts for uncertainty in the plant parameters, and an adaptive neural network estimates the effect of the waste input. The simulation results show that the proposed method can obtain accurate performance and stability, in a situation where PI control performs poorly.

引用

页码：1920 / 1926

页数：7

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