A simple approach for designing a PID controller for an experimental air blower system
by I.M. Alsofyani; M.F. Rahmat; S.A. Anbaran; Y.A. Alamri
International Journal of Computational Vision and Robotics (IJCVR), Vol. 7, No. 1/2, 2017

Abstract: This paper focuses on the identification and control of an air blower system PT-326. Modelling of the PT-326 system is required before designing the controller. Hence, it is estimated by using system identification toolbox available in MATLAB. The process of identification began with the collection of input and output data from an experiment. The collected data is used for model estimation based on the selection of auto-regressive with exogenous (ARX) model structure of the PT-326 system. Based on the input and output data of the system, best fit criterion and correlation analysis of the residual are analysed to determine the adequate parameters of ARX model representing the PT-326 system. To achieve a good performance for the air blower system, right selection of the PID controller parameters is essential. This paper also presents a simple approach for designing a PID controller using minimum square error tuning scheme and compares it with a conventional Ziegler-tuning method for the identified model via simulation and experiment. The results obtained from both tuning methods show that the outputs of the system with the PID controller in simulation and experiment are almost similar.

Online publication date: Sun, 01-Jan-2017

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