循环流化床锅炉燃烧过程无模型自适应控制研究
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摘要
循环流化床(Circulating Fluidized Bed,简称CFB)锅炉被公认为一种具有发展潜力的洁净煤燃烧技术,其燃烧过程具有典型的非线性、强耦合、大惯性、大滞后特性,传统或现代控制理论的控制策略难以取得良好的控制性能。因此,根据循环流化床锅炉燃烧过程特点,将其燃烧过程分为四个子系统,通过子系统模型构建和离散化处理,基于无模型自适应控制方法(Model-free Adaptive Control,简称MFAC)分别实现CFB锅炉燃烧子系统的控制器设计。仿真结果表明,与传统PID控制方法相比,采用无模型自适应控制方法对CFB锅炉燃烧过程进行控制,能够获得更好的控制效果,其控制精度更高,控制过程更快速。
Circulating fluidized bed(CFB)is popularly accepted as a clean combustion technique with the classical features of nonlinearity,strong coupling,big inertance and long time delay. These characteristics weaken the performance of controlling strategies based typical or modern control theory. Therefore,it supplies a model free adaptive control(MFAC)method to the circulating fluidized bed. According to the peculiarity of CFB,its combustion process is divided into four subsystems and every subsystem is modeled and discretized preparing for its controller design with MFAC algorithm. The simulation of the four subsystems demonstrates that the MFAC approaches better controlling performance,achieve higher controlling precision and faster response speed than PID in the combustion process of CFB.
Circulating fluidized bed(CFB)is popularly accepted as a clean combustion technique with the classical features of nonlinearity,strong coupling,big inertance and long time delay. These characteristics weaken the performance of controlling strategies based typical or modern control theory. Therefore,it supplies a model free adaptive control(MFAC)method to the circulating fluidized bed. According to the peculiarity of CFB,its combustion process is divided into four subsystems and every subsystem is modeled and discretized preparing for its controller design with MFAC algorithm. The simulation of the four subsystems demonstrates that the MFAC approaches better controlling performance,achieve higher controlling precision and faster response speed than PID in the combustion process of CFB.
引文
[1]周韧峰.循环流化床锅炉燃烧过程的动态特性及控制仿真[D].武汉:华中科技大学,2011.(Zhou Ren-feng.Dynamic characteristics of combustion of circulating fluidized bed boiler and its control simulation[D].Wuhan:Huazhong University of Science and Technology,2011.)
[2]童一飞.循环流化床锅炉燃烧过程多目标优化控制策略研究[D].杭州:浙江大学,2010.(Tong Yi-fei.Research on optimal control of multi-objective in circulating fluidized bed boiler combustion process[D].Hangzhou:Zhejiang University,2010.)
[3]王磊.循环流化床锅炉燃烧过程聚类融合控制研究[D].秦皇岛:燕山大学,2009.(Wang Lei.Research of clustering fusion control for combustion process of circulating fluidized bed boiler[D].Qinhuangdao:Yanshan University,2009.)
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[13]付萍.循环流化床锅炉特性分析及其参数优化[D].北京:华北电力大学,2007.(Fu Ping.Characteristic analysis of circulating fluidized bed boiler and its parameters optimization[D].Beijing:North China Electric Power University,2007.)
[14]侯忠生,金尚泰.无模型自适应控制-理论与应用[M].北京:科学出版社,2013.(Hou Zhong-sheng,Jin Shang-tai.Model Free Adaptive Control:Theory and Application[M].Peking:Science Press,2013.)
[2]童一飞.循环流化床锅炉燃烧过程多目标优化控制策略研究[D].杭州:浙江大学,2010.(Tong Yi-fei.Research on optimal control of multi-objective in circulating fluidized bed boiler combustion process[D].Hangzhou:Zhejiang University,2010.)
[3]王磊.循环流化床锅炉燃烧过程聚类融合控制研究[D].秦皇岛:燕山大学,2009.(Wang Lei.Research of clustering fusion control for combustion process of circulating fluidized bed boiler[D].Qinhuangdao:Yanshan University,2009.)
[4]Horton E C,Foley M W,Kwok K E.Performance assessment of level controllers[J].International Journal of Adaptive Control and Signal Processing,2003(17):663.
[5]J Richalet,A Rault,J Testud,J Papon.Model predictive heuristic control:Applications to an industrial process[J].Automatica,1978:413-428.
[6]G Pannocchia.Robust disturbance modeling for model predictive control with application to multivariable ill-conditioned processes[J].Journal of Process Control,2003,13(8):693-701.
[7]侯忠生.无模型自适应控制的现状和展望[J].控制理论与应用,2006,23(4):586-592.(Hou Zhong-sheng.A view of model free adaptive control[J].Control Theory and Application,2006,23(4):586-592.)
[8]QM Zhu,K Warwick,JL Douce.Adaptive general predictive controller for nonlinear systems[J].Control Theory&Applications Iee Proceedings D,1991,138(1):33-40.
[9]韩志刚.无模型控制器理论与应用的进展[J].自动化技术与应用,2004,23(2):1-6.(Han Zhi-gang.Development of model free control theory and application[J].Automative Technology and Application,2004,23(2):1-6.)
[10]H.Hjaimarsson,S.Gunnarsson,M.GeverS.A convergent iterative restricted complexity control design scheme[C].The Proceedings of the 33th IEEE Conference on Decision and Control,Orlando,1994:1735-1740.
[11]H.Hjalmarsson,S.Ounnarsson,M.Gevers.Model-free tuning of a robust regulator for aflixible transmission system[J].Europe Journal of Control,1995,1(2):148-156.
[12]P Di,Magni.A multi-model structure for model predictive control[J].Annual Reviews in Control,2004,28(1):47-52.
[13]付萍.循环流化床锅炉特性分析及其参数优化[D].北京:华北电力大学,2007.(Fu Ping.Characteristic analysis of circulating fluidized bed boiler and its parameters optimization[D].Beijing:North China Electric Power University,2007.)
[14]侯忠生,金尚泰.无模型自适应控制-理论与应用[M].北京:科学出版社,2013.(Hou Zhong-sheng,Jin Shang-tai.Model Free Adaptive Control:Theory and Application[M].Peking:Science Press,2013.)