Heating, Ventilating and Air Conditioning (HVAC) plant, is a multivariable, nonlinear and non minimum phase system, that its control is very difficult. In this paper, we apply a robust sliding mode fuzzy controller to HVAC system. Our proposed method can achieve very robust and satisfactory performance and could be used to get the desired performance levels. The response time is also very fast despite the fact that the control strategy is based on bounded rationality. To evaluate the usefulness of the proposed method, we compare the response of this method with PID controller. The simulation results show that proposed method has the better control performance than PID controller.
CITATION STYLE
Rashidi, F., & Moshiri, B. (2004). Design of a robust sliding mode fuzzy controller for nonlinear HVAC systems. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 984–989). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_153
Mendeley helps you to discover research relevant for your work.