Investigation of high performance split air conditioning system by using Hybrid PID controller

Mohammed, Jamal Abdul-Kareem; Mohammed, Farag Mahel; Jabbar, Mustafa Abdul-Sattar

doi:10.1016/j.applthermaleng.2017.10.113

Cited by 24 publications

(8 citation statements)

References 16 publications

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“…Therefore, the variable air volume automatic control system of central air conditioning based on intelligent control algorithm can better adapt to the complex and changeable indoor environment and has an excellent energy-saving effect. Compared with the control system of central air conditioning proposed by Kosaka et al and Liu et al, the automatic control system of the variable air volume of central air conditioning based on the intelligent control algorithm in this research has better energy saving performance, better control effect, and can adapt to the complex and changeable environment [10][11][12][13][14][15][16].…”

Section: Discussionmentioning

confidence: 99%

Design of Intelligent Algorithm Based Air Volume Control System for Central Air Conditioning

2020

IJOMAM

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Section: Discussionmentioning

confidence: 99%

Design of Intelligent Algorithm Based Air Volume Control System for Central Air Conditioning

2020

IJOMAM

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“…According to [11], a PID controller is represented in the Laplace domain by the transfer function (5), where U (s) is the control action, E(s) the feedback system error, k the proportional term, τ i the integral time term, τ d the derivative time term, and N is the filter coefficient of the derivative action.…”

Section: A Pid Controllermentioning

confidence: 99%

“…Besides, [4] shows the application of a multivariable decoupled control technique with PI and PID controllers to control a system. In [5], the performance of a split air conditioning system is improved experimentally employing PID controllers. On the other hand, there are other control techniques different than PID controllers that can be applied to the control of refrigeration systems.…”

Section: Introductionmentioning

confidence: 99%

Comparison of control strategies for the temperature control of a refrigeration system based on vapor compression

Viola,

Radici,

Chen

2018

Preprint

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This paper presents the design of multivariable temperature control for a refrigeration system based on vapor compression employing the internal model control technique. The refrigeration system is based on the PID18 benchmark, which is a 2 × 2 MIMO system. The controlled output variables of the refrigeration system are the cooling power managed through the outlet temperature of the evaporator and the superheating degree at the condenser. The input variables of the system are the valve opening and the compressor speed. System identification is performed by applying stepped signals to the input variables, resulting in four transfer functions estimated with a Box-Jenkins model. From the MIMO system transfer functions, the relative gain array is calculated to determinate the best variables to be paired. After that, according to the variables to be paired, the corresponding transfer functions are reduced to order two to design a PID controller for each output variable employing the internal model control technique. Then, the controllers are contrasted employing a set of quantitative performance indexes with the control results achieved in the PID18 workshop. Obtained results show that the proposed Internal Model controllers have better performance than most of the proposed controllers at the PID18.

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“…Calibration of proportional coefficients can reduce the system energy consumption by up to 29% and can improve meeting temperature set points by up to 45% [13]. The incorporation of the proposed control framework with the adjusted cooling framework prompts increment the energy saving and enhance the coefficient of execution over a wide scope of surrounding temperatures (35-57) degree Celsius [1]. The proposed control procedure can adequately accomplish an ideal cooling conveyance, which guarantees a comparative cooling-down speed of indoor temperature among various zones amid morning begin period, and thus a potentially shortest precooling time [5].…”

Section: Introductionmentioning

confidence: 99%

PID Controller for Optimum Energy Efficiency in Air-Conditioner

Shahir

Oktaviandri

2022

IJEEPSE

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Air conditioning is a process of excluding moisture and heat in interior space for better thermal comfort. It is also one of the largest energy consumers in a household. The air-conditioner uses a lot of energy to maintain desired room temperature. The world is getting old and technologies are getting more advanced every day, energy-efficient appliances are needed to preserve the world. This paper presents a design and testing of the PID control for temperature and humidity control using Arduino to get the optimum energy efficiency. The system was developing by implementing the DHT22 sensor. The objectives of this work are; to design experimental model of air conditioning system, and to optimize the system using PID control. The Arduino is used in this work to showcase the temperature and humidity reading. The experimental model has been successfully built for use with PC fan with 12V and 0.26A current rate. The real-life performance is quite satisfactory.

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Investigation of high performance split air conditioning system by using Hybrid PID controller

Cited by 24 publications

References 16 publications

Design of Intelligent Algorithm Based Air Volume Control System for Central Air Conditioning

Design of Intelligent Algorithm Based Air Volume Control System for Central Air Conditioning

Comparison of control strategies for the temperature control of a refrigeration system based on vapor compression

PID Controller for Optimum Energy Efficiency in Air-Conditioner

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