Multivariable control of indoor air temperature and humidity in a direct expansion (DX) air conditioning (A/C) system

Qi, Qi; Deng, Shiming

doi:10.1016/j.buildenv.2008.11.001

Cited by 103 publications

(61 citation statements)

References 11 publications

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“…The FCM method is used as a core controller and the Generalized Predictive Model is applied to assign the minimum required weights for the control procedure in the FCM control method. The model of the DX A/C system is adopted from Qi [2]. The results of the designed GPC-FCM control method were compared by a LQG controller which was designed by Qi [2] on the same DX A/C model.…”

Section: Improvements In Terms Of Performance As Compared To the Currmentioning

confidence: 99%

“…The model of the DX A/C system is adopted from Qi [2]. The results of the designed GPC-FCM control method were compared by a LQG controller which was designed by Qi [2] on the same DX A/C model. The temperature and humidity of the room are controlled by changing the compressor speed and changing the speed of the supply fan.…”

Section: Improvements In Terms Of Performance As Compared To the Currmentioning

confidence: 99%

“…Due to the fact these devices account for almost 50% of the total energy usage in buildings [1], improvement of the applied control techniques could be a more efficient way of preventing energy losses by these devices and maintaining thermal comfort at the same time. The HVAC system and specifically the air conditioning system are nonlinear, and complex and in reality are MIMO devices with coupled parameters [2].…”

Section: Introductionmentioning

confidence: 99%

“…The Linear Quadratic Gaussian (LQG) controller was applied on a linearized model of the MIMO Direct Expansion (DX) A/C system by Qi and Shiming [27]. This method controls the humidity and temperature by varying the supply fan speed and compressor speed.…”

mentioning

confidence: 99%

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Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps

et al. 2018

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Heating, Ventilating, and Air Conditioning (HVAC) systems are the major energy-consuming devices in buildings. Nowadays, due to the high demand for HVAC system installation in buildings, designing an effective controller in order to decrease the energy consumption of the devices while meeting the thermal comfort demands in buildings are the most important goals of control designers. The purpose of this article is to investigate the different control methods for Heating, Ventilating, and Air Conditioning and Refrigeration (HVAC & R) systems. The advantages and disadvantages of each control method are discussed and finally the Fuzzy Cognitive Map (FCM) method is introduced as a new strategy for HVAC systems. The FCM method is an intelligent and advanced control technique to address the nonlinearity, Multiple-Input and Multiple-Output (MIMO), complexity and coupling effect features of the systems. The significance of this method and improvements by this method are compared with other methods.

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Section: Improvements In Terms Of Performance As Compared To the Currmentioning

confidence: 99%

Section: Improvements In Terms Of Performance As Compared To the Currmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps

et al. 2018

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“…Although fuzzy control theory has been successfully employed in many control applications [1][2][3][4][5][6][7][8][9] , its control strategies were mostly designed for SISO systems, and for few MIMO systems with only simulation studies. Lian and Lin 10 proposed a mixed fuzzy controller (MFC) for a MIMO two-link robotic system to overcome the coupling effects between the degrees of freedom.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of an Integrated Fuzzy Logic Controller for a Multi-input Multi-output System

Patil¹,

Bhaskar²,

Sudheer³

2011

DSJ

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The design and real time implementation of an integrated fuzzy logic controller (IFLC) for a multipleinput multiple-output (MIMO) system is presented. The design of IFLC for an uncoupled MIMO system has been discussed. This study develops a combination of fuzzy and PID controllers (PIDC) to improve the control performance of a two-input-two-output (TITO: angular position, and rotational speed) system. These parameters play a vital role in radar-tracking system for military applications. To verify the applicability of proposed controller, two-motor unit plant along with indigenously designed multi-channel analog interface board of 16-bit precision is used. The proposed MIMO control system is interfaced to a PC through its parallel port. The performance of the system is studied by subjecting it to various standard test signals. The IFLC performs better than the other two controllers in tracking the input command for linear as well as nonlinear inputs such as step, square, triangular, and sine waves is observed.

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Efficient Residential Indoor Thermal Environment Control

Deng

2015

Handbook of Clean Energy Systems

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In this article, recent developments on the efficient control of residential indoor thermal environment are reported. Firstly, fundamental issues for indoor environmental control in residences are discussed. This is followed by presenting an analysis of a number of current control issues for direct expansion ( DX ) air‐conditioning (A/C) systems, including the capacity control, humidity control, and the inherent operating characteristics of a DX A/C system. A number of studied efficient control strategies for simultaneous controlling indoor air temperature and humidity using a DX A/C system, including direct digital control ( DDC )‐based control, multi‐input multi‐output ( MIMO ) control, and artificial neural network ( ANN )‐based control, are reported subsequently. Finally, some other related issues on residential indoor thermal environmental control using DX A/C systems, including a novel indoor humidity control algorithm (H–L (high–low) control algorithm), capacity control of multi‐evaporator air‐conditioning ( MEAC ) systems, and A/C for sleeping environments in the tropics and subtropics are discussed. It is expected that with the improvement on indoor thermal environmental control in residences, occupants' thermal comfort can be improved and more importantly, the energy use for A/C residential buildings reduced. This would in turn help reduce energy consumption in buildings, and thus carbon emission, contributing to sustainable development.

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Multivariable control of indoor air temperature and humidity in a direct expansion (DX) air conditioning (A/C) system

Cited by 103 publications

References 11 publications

Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps

Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps

Design and Implementation of an Integrated Fuzzy Logic Controller for a Multi-input Multi-output System

Efficient Residential Indoor Thermal Environment Control

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