GA-based nonlinear predictive switching control for a boiler-turbine system

被引：16

作者：

Jie Wu

Jiong Shen

Mattias Krug

Sing Kiong Nguang

Yiguo Li

机构：

[1] School of Energy and Environment, Southeast University

[2] Department of Electrical and Computer Engineering, The University of Auckland, Auckland 1142

来源：

Journal of Control Theory and Applications | 2012年 / 10卷 / 1期

基金：

中国国家自然科学基金;

关键词：

Adaptive control; Boiler-turbine; Genetic algorithm (GA); Nonlinear receding horizon control; Switching control;

D O I：

10.1007/s11768-012-0050-x

中图分类号：

学科分类号：

摘要：

In this paper, the problem of designing a controller for a highly coupled constrained nonlinear boiler-turbine system is addressed with a predictive controller. First, a nonlinear predictive control is implemented by genetic algorithm. Second, to guarantee fast output stabilization, an H-infinity fuzzy state-feedback tracking control is applied with a designed switching principle. The success of such a control structure is based on taking advantage of the optimal input sequence derived from the nonlinear predictive control based on artificial intelligent while ensuring a fast decay of the steady state error. Simulation results of the proposed design are given to illustrate its effectiveness and compared to other control schemes. © 2012 South China University of Technology, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.

引用

页码：100 / 106

页数：6

共 24 条

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