Self-tuning Based Fuzzy PID Controllers: Application to Control of Nonlinear HVAC Systems

Abstract

Heating, Ventilating and Air Conditioning (HVAC) plant is a multivariable, nonlinear and non minimum phase system, which its control is very difficult. For this reason, in the design of HVAC controller the idea of self tuning controllers is being used. In this paper a robust and adaptive self tuning based fuzzy PID controller for control of nonlinear HVAC systems is presented. To illustrate the effectiveness of the proposed method some simulations are given. Obtained results show that the proposed method not only is robust, but also it gives good dynamic response compared with traditional controllers. Also 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 obtained results show that our method has the better control performance than PID controller.