Adaptive fuzzy controller design for an air handling unit

IF 2.5 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

European Journal of Control Pub Date : 2024-07-08 DOI:10.1016/j.ejcon.2024.101085

Jihua Liu , Jingyu Li , Xiaoping Liu , Cungen Liu , Guangxu Liu , Zhen Xu

引用次数: 0

Abstract

An adaptive control method based on a fuzzy state observer is designed for air handling unit (AHU) systems, where the intensity of humidity source and heat load are considered to be uncertain, and approximated by fuzzy logics. Besides, the supply air temperature is unmeasurable, which is observed by a state observer. To avoid the system equilibrium point offset, the prediction errors generated by the system and serial-parallel estimation models are introduced into the controller design based on backstepping. Finally, the superiority of proposed adaptive fuzzy controller is analyzed by simulation comparison with feedback linearization and PID controllers in two cases.

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空气处理装置的自适应模糊控制器设计

针对空气处理机组（AHU）系统设计了一种基于模糊状态观测器的自适应控制方法，在该系统中，湿度源和热负荷的强度被认为是不确定的，并通过模糊逻辑进行近似。此外，送风温度是不可测量的，可通过状态观测器进行观测。为了避免系统平衡点偏移，在控制器设计中引入了由系统和串并联估算模型产生的预测误差，并基于反步态进行设计。最后，通过在两种情况下与反馈线性化控制器和 PID 控制器进行仿真比较，分析了所提出的自适应模糊控制器的优越性。

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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来源期刊

European Journal of Control 工程技术-自动化与控制系统

CiteScore

5.80

自引率

5.90%

发文量

131

审稿时长

1 months

期刊介绍： The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.