Design of an intelligent controller for an air-conditioning system using DSP

Abstract

This paper presents the design of an intelligent controller, which has comfort control, for an air-conditioning system. The traditional air-conditioning control only focuses on temperature control problems, but does not consider the human sensation of thermal comfort. In this paper, not only temperature control problems are considered but also a PMV index is proposed which is influenced mostly by indoor temperature, relative humidity, air flow velocity, mean radiant temperature, clothing condition, and activity level. This predicts the human sensation of thermal comfort. Since the air-conditioning system is nonlinear and time-varying, fuzzy theory is proposed for the design of this intelligent controller. In addition to the traditional fuzzy control, the PMV index is also considered and comfort control by digital signal processor (DSP) is achieved

Key Words:

• Intelligent air-conditioning system
• thermal comfort
• fuzzy theory
• digital signal processor (DSP)
• predicted mean volt (PMV) index