Comparison of Defuzzification Methods in The Case of Air Conditioning Systems

Koçak, Sinan; Pokorádi, László

doi:10.33894/mtk-2018.09.24

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…In [55], interfacing devices are utilized to process data collected from sensors and to transfer this data to experimental setup. Two different methods of defuzzification are discussed [57] for air-conditioning systems. 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.…”

Section: A Fuzzy Logic Controllersmentioning

confidence: 99%

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

et al. 2020

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A huge body of research is concentrated on developing advance load control strategies for reducing energy consumption and ensuring smooth operation of power system. Air conditioning loads are considered major energy consuming electrical loads in residential and business buildings, and that may cause significant rise in energy consumption. This paper presents an implementation of fuzzy controller with different number and shapes of membership functions for smoothing energy consumption of an air conditioning load while dealing with thermal disturbances. Simulations are conducted in MATLAB Simulink and the results demonstrate that the fuzzy controller with triangular membership function gives the desired performance with an error of less than 1% and saves 25% energy consumption. The obtained results are found effective in terms of smoothing energy consumption pattern of an air conditioning load without compromising consumer's comfort. Performance of the designed controller is also compared with different controllers including self-tuning adaptive fuzzy controller, linear quadratic regulator (LQR) and nonlinear controllers. The presented fuzzy controller stands-out in terms of desired performance, simplicity and implementation.

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Section: A Fuzzy Logic Controllersmentioning

confidence: 99%

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

et al. 2020

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“…The Fuzzy set concept was first introduced and published by Lotfi A. Zadeh in the mid-1960s to deal with mathematical models that are difficult to quantify [13]. The degree of membership ranges specified between 0 and 1 with this theorem, instead of the classical concept of sets 0 or 1 [4]. This approach has a more flexible structure, and it offers more realistic solutions to daily life problems.…”

Section: Introductionmentioning

confidence: 99%