A Novel Modified Delay-Based Control Algorithm with an Experimental Application


  • Necdet Sinan Ozbek Adana Science and Technology University
  • İlyas Eker Çukurova University




Delay-based control, electromechanical system, system identification, experimental application, proportional integral derivative (PID), stability.


This study addresses a real-time experimental application of a novel modified delay-based control structure for a second order linear time-invariant system. The electromechanical system is identified with an interactive system identification tool. The controller parameters are tuned by using the integral of the absolute error criterion. Further, experimental results validate the theoretical background. From a practical point of view, an alternative control structure is proposed to obtain better control performance in the presence of measurement noise as well as uncertainties.

Author Biographies

Necdet Sinan Ozbek, Adana Science and Technology University

Necdet S. Özbek received the B.Sc. degree from Sakarya University, and the M.Sc. degree from TOBB University of Economics and Technology, Ankara, Turkey, in 2008 and 2011 respectively. He is currently pursuing the PhD degree in electrical and electronics engineering at Çukurova University. His research interests include engineering education, control of time delay systems, system identification and adaptive control and their applications.

İlyas Eker, Çukurova University

İlyas Eker received the BSc in electrical and electronic engineering (EEE) from Middle East Technical University (METU)/Turkey in 1988. From 1988 to1992 he completed his MSc and he worked as research assistant at EEE, Gaziantep University, Turkey. He joined Industrial Control Centre, University of Strathclyde, Glasgow, UK in 1992, where he received his PhD degree in 1995. Currently, he is a full professor at EEE, Çukurova University/Turkey. His current research interests are self-tuning control, adaptive control, robustness, fuzzy control, sliding-mode control, fault detection, linear and nonlinear control, and their applications.