基于模糊推理的模型參考自適應(yīng)內(nèi)?？刂频难芯?/h1>

電廠的主汽溫是大慣性、大滯后的對象，并且動態(tài)特性隨機組負荷變化而變化，運
行過程中擾動多。本文采用模型參考自適應(yīng)控制的思想，將模糊控制方法和內(nèi)?？刂品椒ńY(jié)合在一起，提出了一種模型參考模糊自適應(yīng)內(nèi)?？刂品椒ǎ翰捎孟嘞ㄔO(shè)計內(nèi)模控制器，用參考模型理想輸出和實際對象輸出之差e 及其變化率△e 在線模糊調(diào)節(jié)控制器中濾波參數(shù)。本文方法綜合了模糊控制，內(nèi)?？刂坪妥赃m應(yīng)控制的優(yōu)點，增強了系統(tǒng)的魯棒性，針對電廠熱工過程系統(tǒng)的仿真研究結(jié)果證明了這一方法的有效性。
關(guān)鍵詞：模型參考，內(nèi)?？刂疲：刂?，過熱汽溫
ABSTRACT：The main steam temperature transfer function of the power plant is the large inertia large delaying and more disturbances. Moreover, the dynamic changed with the load. In this paper the author propose a model reference fuzzy self-adopting IM controlling method based on the combination of the fuzzy and IM controlling theory and design the IM controller using the relative arithmetic; in order to get optimic steadiness the filter parameters can be tuned through calculate the error-e between the computation outle and the test result as well as the changing rate. The simulated result shows the method lead to the optimizing dynamic characteristic for the plant process controlling.
KEY WORDS： model reference, IMC, fuzzy controlling, steam temperature of superheater