厌氧消化过程的模糊控制

2015 19th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2015-11-09 DOI:10.1109/ICSTCC.2015.7321271

R. Precup, Claudia-Adina Bojan-Dragos, M. Barbu, S. Caraman

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引用次数: 1

摘要

本文针对厌氧消化过程提出了一种简单的Takagi-Sugeno pi -模糊控制器。提出了厌氧消化过程的五阶非线性模型。建立了该过程的二阶线性模型，并利用引力搜索算法求解了该模型的参数优化问题。针对线性过程模型，采用频域方法设计了相位裕度的PI控制器。在线性PI控制器的基础上设计了Takagi-Sugeno PI-模糊控制器。利用模糊控制系统中的非线性过程模型，对Takagi-Sugeno pi -模糊控制器进行了仿真验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fuzzy control of an anaerobic digestion process

The paper proposes a simple Takagi-Sugeno PI-fuzzy controller for an anaerobic digestion process. A fifth order nonlinear model of the anaerobic digestion process is first presented. A second order linear model of the process is next proposed, and the parameters of the linear model are obtained from an optimization problem solved by a Gravitational Search Algorithm. A PI controller is designed for the linear process model using a frequency domain approach in terms of imposing the phase margin. The Takagi-Sugeno PI-fuzzy controller is designed on the basis of the linear PI controller. The Takagi-Sugeno PI-fuzzy controller is validated by simulation using the nonlinear process model in the fuzzy control system.

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2015 19th International Conference on System Theory, Control and Computing (ICSTCC)

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