Soft Computing Based Controllers for a Humidification Process

Abstract: The aim of this paper is to implement controllers based on soft computing techniques for a non-linear process. The process taken up for study is to control the humidity in the system. The system identification of this nonlinear process is done and found to be First Order plus Dead Time (FOPDT) model. Then the controller tuning strategy has been applied using IMC tuning method. The soft computing based controller like ANFIS has been implemented and compared with conventional PID tuning method. From the results it is proved that the controllers implemented using soft computing technique out performs the conventional controller.

Keywords: Humidity; FOPDT; IMC; ANFIS.