A Design of a Hybrid Non-Linear Control Algorithm

Behrooz, Farinaz; Mariun, Norman; Marhaban, Mohammad Hamiruce; Radzi, Mohd Amran Mohd; Ramli, Abdul Rahman

doi:10.3390/en10111823

Cited by 4 publications

(11 citation statements)

References 31 publications

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“…The hybrid intelligent, MIMO controller was utilized on DX A/C system based on combination of soft computing methodology of Fuzzy Cognitive Map (FCM) and Generalized Predictive Control (GPC) method Behrooz et al [90,91]. By implementing the GPC-FCM method in order to control the DX A/C, all the problems of the systems were considered and solved.…”

Section: Hybrid Control Categorymentioning

confidence: 99%

“…A novelty of this review paper is introducing the pure method [102] and hybrid method [90,91] based on FCM like Generalized Predictive Control-Fuzzy Cognitive Map control (GPC-FCM) [90,91] method for the first time in the literature.…”

Section: Reasons For Choosing Fcm Over Many Other Advanced Control Tementioning

confidence: 99%

“…The hybrid GPC-FCM method was utilized to the DX A/C system by Behrooz et al [90,91]. 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.…”

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

confidence: 99%

“…In addition, the performance index results of both controllers clearly illustrate the better performance of the GPC-FCM controller. Figure 17 shows the model of the DX A/C system which is used by Qi [2] and Behrooz et al [90,91]. Figure 18 indicates the air conditioned room temperature which is decreased from 30 °C to 25 °C in 380 s with a 0.33% error from the desired set point.…”

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

confidence: 99%

“…Increasing the accuracy and sensitivity of the system by omitting the decoupling Figure 22. Air conditioned room humidity in a disturbance rejection test [91].…”

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

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: Hybrid Control Categorymentioning

confidence: 99%

Section: Reasons For Choosing Fcm Over Many Other Advanced Control Tementioning

confidence: 99%

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%

“…Increasing the accuracy and sensitivity of the system by omitting the decoupling Figure 22. Air conditioned room humidity in a disturbance rejection test [91].…”

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

confidence: 99%

See 3 more Smart Citations

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

et al. 2018

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Energy efficiency optimization strategies for greenhouse‐based crop cultivation: A review

Kaur,

Sonawane,

Rosha

2023

Can J Chem Eng

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Worldwide, food scarcity is becoming a debatable concern among the scientific fraternity due to the increased populace, leading to decreased arable land. This has compelled us to explore various innovative and technological solutions, for example, large‐scale greenhouse farming, to meet the surging demand for field production. In this context, research efforts have been continually made by various scientists and researchers to explore more control strategies/algorithms for keeping the indoor climate comfortable and enhancing the greenhouse's energy effectiveness. Considering this, an initiative was made to summarize the documented research findings in the last decade focusing on energy‐efficient greenhouse‐based crop cultivation. The findings of some studies considering selective parametric conditions have been presented in graphs/tables for reader clarity and discussion. Initially, the studies on existing energy efficient strategies, parameters, monitoring systems, sensing networks, and control algorithms have been discussed. A state of the art review found that control strategies are essential in low‐energy greenhouses since they influence crop yield and cost. It was observed that advanced control algorithms and energy conservation in greenhouses received more attention due to wide spread application, high compatibility, low‐cost, and user‐friendly operations. In terms of future perspectives, it is anticipated that the development of machine learning, big data, and artificial intelligence, combining these technologies with traditional and advanced control strategies would lead to a revolution in the management of greenhouse energy.

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Deployment and control of adaptive building facades for energy generation, thermal insulation, ventilation and daylighting: A review

Alkhatib

Lemarchand

Norton

et al. 2021

Applied Thermal Engineering

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A Design of a Hybrid Non-Linear Control Algorithm

Cited by 4 publications

References 31 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

Energy efficiency optimization strategies for greenhouse‐based crop cultivation: A review

Deployment and control of adaptive building facades for energy generation, thermal insulation, ventilation and daylighting: A review

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