Optimal Intelligent Control for HVAC Systems

• Autorzy: Khooban M. H. , Soltanpour M. R. , Abadie D. N. M. , Esfahani Z.
• Języki publikacji: EN

Abstrakty

EN

In this paper a novel Optimal Fuzzy Proportional-Integral-Derivative Controller (OFPIDC) is designed for controlling the air supply pressure of Heating, Ventilation and Air-Conditioning (HVAC) system. The parameters of input membership functions, output polynomial functions of first-order Sugeno, and PID controller coefficients are optimized simultaneously by random inertia weight Particle Swarm Optimization (RNW-PSO). Simulation results show the superiority of the proposed controller than similar non-optimal fuzzy controller.

Słowa kluczowe

EN

HVAC Systems; Sugeno-Type Fuzzy Inference; Fuzzy Proportional-Integral-Derivative Controller (OFPIDC); random inertia weight Particle Swarm Optimization (RNW-PSO)

PL

systemy HVAC; wnioskowanie rozmyte; Sugeno; OFPIDC; RNW-PSO; optymalizacja roju cząstek

• Wydawca: Institute of Heat Engineering, Warsaw University of Technology
• Czasopismo: Journal of Power Technologies
• Rocznik: 2012
• Tom: Vol. 92, nr 3
• Strony: 192--200
• Opis fizyczny: Bibliogr. 18 poz., rys., tab., wykr.

Twórcy

autor

Khooban M. H.

• Department of Electrical and Robotic Engineering,Garmsar Branch, Islamic Azad University of Iran, Garmsar, Iran

autor

Soltanpour M. R.

• Department of Electrical Engineering, Aeronautical University of Science and Technology,Tehran, Iran

autor

Abadie D. N. M.

• Department of Electrical and Robotic Engineering,Garmsar Branch, Islamic Azad University of Iran, Garmsar, Iran

autor

Esfahani Z.

• Department of Electrical and Robotic Engineering,Garmsar Branch, Islamic Azad University of Iran, Garmsar, Iran

Bibliografia

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