Original scientific paper

https://doi.org/10.7305/automatika.2014.01.219

Optimal Type-2 Fuzzy Controller For HVAC Systems

Mohammad Hassan Khooban ; Department of Electrical and Robotic Engineering, Islamic Azad University of Garmsar Branch, Garmsart, Iran
Davood Nazari Maryam Abadi ; Department of Electrical and Robotic Engineering, Islamic Azad University of Garmsar Branch, Garmsart, Iran
Alireza Alfi ; Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, Iran
Mehdi Siahi ; Department of Electrical and Robotic Engineering, Islamic Azad University of Garmsar Branch, Garmsart, Iran

Abstract

In this paper a novel Optimal Type-2 Fuzzy Proportional-Integral-Derivative Controller (OT2FPIDC) is designed for controlling the air supply pressure of Heating, Ventilation and Air-Conditioning (HVAC) system. The parameters of input and output membership functions, 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.

Keywords

HVAC systems; Optimal Type-2 Fuzzy Proportional-Integral-Derivative controller (OT2FPIDC); Random inertia weight particle swarm optimization (RNW-PSO)

Hrčak ID:

118933

URI

https://hrcak.srce.hr/118933

Publication date:

27.2.2014.

Article data in other languages: croatian

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