基于模糊推理的锅炉-汽轮机系统自适应动态矩阵控制

U. Moon, Seung-chul Lee, K.Y. Lee
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引用次数: 13

摘要

提出了一种基于模糊推理的自适应动态矩阵控制方法,并将其应用于锅炉-汽轮机系统。在传统的DMC中,对象系统被描述为阶跃响应模型(SRM)。然而,非线性系统不能有效地描述为单个SRM。本文将不同工况下的9个srm用模糊推理规则表示。在每个采样步骤进行在线模糊推理,以找到合适的SRM。因此,所提出的自适应DMC可以考虑锅炉-汽轮机系统的非线性。仿真结果表明,在锅炉-汽轮机系统大范围运行的情况下,仿真结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Adaptive Dynamic Matrix Control of a Boiler-Turbine System Using Fuzzy Inference
This paper proposes an adaptive dynamic matrix control (DMC) using fuzzy inference and its application to boiler-turbine system. In a conventional DMC, object system is described as a step response model (SRM). However, a nonlinear system is not effectively described as a single SRM. In this paper, nine SRMs at various operating points are represented as fuzzy inference rules. On-line fuzzy inference is performed at every sampling step to find the suitable SRM. Therefore, the proposed adaptive DMC can consider the nonlinearity of boiler-turbine system. The simulation results show satisfactory result with wide range operation of boiler-turbine system.
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