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

作　　者：Jie WU Jiong SHEN Mattias KRUG Sing Kiong NGUANG Yiguo LI 

机构地区：[1]School of Energy and Environment, Southeast University, Nanjing Jiangsu 210096, China [2]Department of Electrical and Computer Engineering, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand

出　　处：《控制理论与应用（英文版）》2012年第1期100-106,共7页

基　　金：supported by the Chinese Scholarship Council, the Project of Chinese Ministry of Education (No. 108060);the Doctoral Fund of Ministry of Education of China (No. 20090092110051);the National Natural Science Foundation of China (Nos. 51036002, 51076027)

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.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.

关 键 词：Genetic algorithm （GA） Nonlinear receding horizon control Adaptive control Boiler-turbine Switching control 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TM621[自动化与计算机技术—控制科学与工程]