循环流化床锅炉燃烧过程无模型自适应控制研究

Model Free Adaptive Control for the Combustion Process of Circulating Fluidized Bed

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.