Fuzzy logic control of air-conditioning system in residential buildings

Abstract

There has been a rising concern in reducing the energy consumption in building. Heating ventilation and air condition system is the biggest consumer of energy in building. In this study, fuzzy logic control of the air conditioning system of building for efficient energy operation and comfortable environment is investigated. A theoretical model of the fan coil unit (FCU) and the heat transfer between air and coolant fluid is derived. The controlled variables are the room temperature and relative humidity and control consequents are the percentage of chilled and hot water flow rates at summer and the percentage of hot water and steam injected flow rates at winter. A computer simulation has been conducted and fuzzy control results are compared with that of conventional Proportional-Integral-Derivative control. It was found that the proposed control strategy satisfies the space load and at the same time to achieve the comfort zone, as defined by the ASHRAE code. Meanwhile PID control fails to adjust the room temperature at part-load operations. It has been demonstrated that fuzzy controller operation is more efficient and consumes less energy than PID control. ª 2015 Faculty of Engineering, Alexandria University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Fuzzy Logic-Based Direct Load Control Scheme for Air Conditioning Load to Reduce Energy Consumption

“…Heating, ventilation, and air conditioning (HVAC) model is proposed in [46] where microprocessor is used for interfacing fuzzy controller to obtain desired temperature and humidity. A fuzzy model is discussed to control temperature and humidity in different rooms of building [59], [60]. A multivariable optimization technique is introduced in [61], in which, a slide switch is used to select weighting factors for cost and comfort criteria which optimize the operation of heating and ventilation controller.…”

Fuzzy Sliding Mode Control of a VAV Air-Conditioning Terminal Temperature System

“…According to the above fuzzy rules, when the deviation signal e is large, the fuzzy control system selects large ε and k to ensure that the system can approach the sliding surface at a fast speed. When e is small, the fuzzy control system selects small ε and k to reduce the approach speed and weaken system chattering [28].…”

Fuzzy adaptive PID controller applied to an electric heater in MATLAB/Simulink

“…where the constant values are calculated from equations (3), (4) and (5). From equation (6), we make the block diagram for the PID as shown in Figure 12.…”

“…Temperature control systems are of great interest, because they have transport delays and thermal inertias that make them non-linearities and in one way or another make the implementation of controllers attractive intelligent [3], [4]. The object of this article is to purpose a temperature control law of an electric heater system by mean of a fuzzy self-adaptive PID controller implemented in Matlab that can be used as tutorial and theoretical guide in an advance control class [5], in addition to comparing these results with the results obtained with a triangular membership function [6], [7]. The result obtained is the comparison between a classic PID and a PID autotuned by fuzzy logic, using the function of both Gaussian and triangular membership in both the variables anticipated as consequential.…”