This paper presents a set of real-time system identification and feedback control schemes for an industrial air heating process with time delay. Continuous time parametric model is obtained by using graphical based methods which are known process reaction curves. Discretetime system model is obtained by employing online identification methods based on recursive extended least squares. | Journal of Automation and Control Engineering Vol. 4, No. 3, June 2016 A Set of Identification and Control Design Methods for an Industrial Air Heating Process with Time-Delay: Stability Analysis and Design Specifications Necdet Sinan Özbek Department of Electrical and Electronics Engineering, Adana Science and Technology University, Adana, Turkey Email: nozbek@ İlyas Eker Department of Electrical and Electronics, Çukurova University, Adana, Turkey Email: eker@ iii) Abstract—This paper presents a set of real-time system identification and feedback control schemes for an industrial air heating process with time delay. Continuous time parametric model is obtained by using graphical based methods which are known process reaction curves. Discretetime system model is obtained by employing online identification methods based on recursive extended least squares. The models are employed in elaborated feedback control schemes. A predictive proportional integral (PI) control and Smith predictor scheme, which can be employed for delay system, are presented. Stability characterization is addressed. A performance comparison between Smith Predictor and the Predictive PI controller is presented. The problems chosen for prototyping time delay control strategies are also widely used benchmark problems of control theory and this aspect of the paper makes it a beneficial guide to a large number of readers. Index Terms—system identification, recursive least squares, predictive PI control, smith predictor, stability analysis. I. INTRODUCTION Time delay systems have been encountered in various applications across different areas such as; robotics, electrical networks, wireless transmission of sensor data’s, congestion control in communication networks, trafficflow and car following models, distributed and cooperative control for the coordination of unmanned vehicles, adaptive combustion control, haptics interfaces and motion synchronization, and .
