Energy Efficient Fuzzy Logic Control of Indoor Air-Conditioning in Real Time
نویسنده
چکیده
The indoor human comfort, working efficiency and health are dependent on the control of the quality of air in a heating-ventilation and air-conditioning (HVAC) system. The aim of present paper is to improve this control considering the most important variables – the air temperature, relative humidity and concentration of carbon dioxide by applying fuzzy logic and genetic algorithms (GAs) for compensation of the variables coupling and the plant nonlinearity by energy efficient control. Two fuzzy logic controllers (FLCs) are designed, one of which two-variable based on a derived modified two-variable Takagi-Sugeno-Kang (TSK) plant model. GAs off-line parameter optimization is applied in the TSK modelling and the FLCs tuning. The FLCs are programmed in MATLAB TM and in an industrial programmable logic controller and applied for the real time control of the variables of a laboratory HVAC system. The short settling time and the lack of overshoot in the transient responses of the controlled variables are an evidence for the high accuracy reached and the economic control. Key-Words: Energy efficiency, Fuzzy logic controllers, Genetic algorithms, HVAC, Real time control, TSK modelling, Two-variable plant
منابع مشابه
A PD Law Based Fuzzy Logic Control Strategy For Simultaneous Control Of Indoor Temperature And Humidity Using A Variable Speed Direct Expansion Air Conditioner
In small to medium scale buildings located in the subtropics, such as Hong Kong, direct expansion air conditioning (DX A/C) systems are widely applied. This is because, as compared to chilled water based central air conditioning systems, DX A/C systems are compact, flexible for multi-room services, energy efficient and cost less to maintain and operate. However, traditionally, a DX A/C system i...
متن کاملA genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems
In this paper, we propose the use of weighted linguistic fuzzy rules in combination with a rule selection process to develop accurate fuzzy logic controllers dedicated to the intelligent control of heating, ventilating and air conditioning systems concerning energy performance and indoor comfort requirements. To do so, a genetic optimization process considering an efficient approach to perform ...
متن کاملDesigning Fuzzy Controller for Air Conditioning Systems in order to Save Energy Consumption and Provide Optimal Conditions in Closed Environments (Indoors)
Today air conditioning systems have been considered by all people as one of welfarerequirements in buildings and closed environments. Since a considerable part of energy lossoccurs in ordinary modern systems, new strategies and solutions are developed in the field inorder to save amount of energy consumption and observe environmental considerations. Fuzzycontrol is one of these methods which pr...
متن کاملGenetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems
In this work, we propose the use of a new post-processing method for the lateral and amplitude tuning of membership functions combined with a rule selection to develop accurate fuzzy logic controllers dedicated to the control of heating, ventilating and air conditioning systems concerning energy performance and indoor comfort requirements.
متن کاملCoupling a neural network temperature predictor and a fuzzy logic controller to perform thermal comfort regulation in an office building
The paper describes the application of a combined neuro-fuzzy model for indoor temperature dynamic and automatic regulation. The neural module of the model, an auto-regressive neural network with external inputs (NNARX), produces indoor temperature forecasts that are used to feed a fuzzy logic control unit that simulates switching the heating, ventilation and air conditioning (HVAC) system on a...
متن کامل