Intelligent Humidity Control for Healthy Home to Wealthy Industry: A Review

Venkatesh, S.; Sundaram, S.

doi:10.3923/rjit.2012.73.84

Cited by 9 publications

(12 citation statements)

References 25 publications

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“…Although this method is advantageous in disturbance rejection and set point tracking, it is not a suitable choice under weather conditions with drastic changes [15]. As Venkatesh and Sundaram [15] reported, a nonlinear robust control method which was used by Soldatos et al [42] in livestock building to control the humidity and temperature by considering the bounded and unknown errors could also be used for air conditioning systems. This method was very successful in the case of external disturbance rejection and set point tracking.…”

Section: Control Methods Advantage Disadvantagementioning

confidence: 99%

“…This method was very successful in the case of external disturbance rejection and set point tracking. Since the combination of feed forward and feedback control are implemented in the nonlinear robust controller, it is able to cancel the unknown and external disturbances [15].…”

Section: Control Methods Advantage Disadvantagementioning

confidence: 99%

“…(1) Ability to cancel the measured and unmeasured disturbances while set point tracking [15]. (2) Provides attractive features for the situation model parameter uncertainty and external disturbances.…”

Section: Control Methods Advantage Disadvantagementioning

confidence: 99%

“…(2) Provides attractive features for the situation model parameter uncertainty and external disturbances. (3) Prior knowledge about uncertain inputs does not require [15].…”

Section: Control Methods Advantage Disadvantagementioning

confidence: 99%

“…Then the nonlinear control technique is required. As HVAC systems are time varying systems, complex and nonlinear, the nonlinear control approaches give different solutions than nonlinear models and slow time varying parameters and uncertainty [6], but the nonlinear control methods could be applied for restricted regions [15]. Since the purpose of this paper is focusing on nonlinear control methods, a comprehensive review on nonlinear control techniques applied for HVAC systems is provided in the following sections.…”

Section: Nonlinear Controlmentioning

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: Control Methods Advantage Disadvantagementioning

confidence: 99%

Section: Control Methods Advantage Disadvantagementioning

confidence: 99%

Section: Control Methods Advantage Disadvantagementioning

confidence: 99%

“…(2) Provides attractive features for the situation model parameter uncertainty and external disturbances. (3) Prior knowledge about uncertain inputs does not require [15].…”

Section: Control Methods Advantage Disadvantagementioning

confidence: 99%

Section: Nonlinear Controlmentioning

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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Moisture-Responsive Actuators Based on Hyaluronic Acid with Biocompatibility and Fast Response as Smart Breather Valves

Tang

Liu

et al. 2022

ACS Appl. Polym. Mater.

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Moisture-responsive actuators with biocompatibility, fast response, and tough interfacial bonding are developed as smart breather valves for humidity management. The proposed actuators are featured with a bilayer structure consisting of a moisture-sensitive methacrylated hyaluronic acid (HAMA) layer and a moisture-inert porous poly(vinylidene fluoride) (PVDF) layer. The HAMA/PVDF bilayer films are fabricated by casting HAMA precursor solutions on the ethanol-treated porous PVDF films first and then converting the precursor solutions into crosslinked HAMA hydrogels via UV-initiated crosslinking. The fabricated HAMA/PVDF bilayer films exhibit rapid, reversible, and repeatable moisture-responsive bending performances upon the change of environmental relative humidity. The molecular weight and mass concentration of HAMA in a precursor solution affect the moisture-responsive actuating speed of the HAMA/PVDF bilayer films, and the fastest response time needed for completing 70% of the moisture-responsive deformation of a HAMA/PVDF bilayer film can be as short as 0.5 s. Due to the fast moisture-responsive bending property and biocompatibility, the HAMA/PVDF bilayer films are successfully developed into smart breather valves by designing and patterning them into fence-like structures and then equipped on the outdoor masks for efficient management of humidity inside the masks. The proposed moisture-responsive actuators show great potential in various applications, especially those related to environmental humidity management.

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Fuzzy logic blend with PID controller for humidity process - a rule based approach

Venkatesh

Sundaram

2012

2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET)

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Humidity affects product quality as well as human comfort. A n experimental setup for humidifying process was developed and a suitable black box model is identified for the process. A Fuzzy Logic Controller (FLC) is designed for this process with rule base based on Internal Model Control Proportional Integral technique (IMCPI). FLC was simulated in the M A T L A B environment for the humidifying process. By changing the rule base and the number of member ship functions the step response of the system was analyzed. The system showed better performance for higher number of membership functions.

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Intelligent Humidity Control for Healthy Home to Wealthy Industry: A Review

Cited by 9 publications

References 25 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

Moisture-Responsive Actuators Based on Hyaluronic Acid with Biocompatibility and Fast Response as Smart Breather Valves

Fuzzy logic blend with PID controller for humidity process - a rule based approach

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