A. Egemen Yilmaz

Work place: Ankara University, Department of Electrical and Electronics Engineering, Ankara, 06830, Turkey

E-mail: aeyilmaz@eng.ankara.edu.tr


Research Interests: Software Development Process, Software Organization and Properties, Computer systems and computational processes, Data Structures and Algorithms


A. Egemen Yilmaz received his B.Sc. degree in Electrical-Electronics Engineering from the Middle East Technical University in 1997. He received his M.Sc. and Ph.D. degrees in Electrical-Electronics Engineering from the same university in 2000 and 2007, respectively. He is currently with the Dept. of Electronics Engineering in Ankara University, where he is an Associate Professor. His research interests include computational electromagnetics, nature-inspired optimization algorithms, knowledge-based systems; more generally software development processes and methodologies.

Author Articles
Optimal PID Design for Control of Active Car Suspension System

By O. Tolga Altinoz A. Egemen Yilmaz

DOI: https://doi.org/10.5815/ijitcs.2018.01.02, Pub. Date: 8 Jan. 2018

This research is based on the determination of the parameters of the PID and fractional-order PID controllers designed for quarter-car suspension system. Initially, without considering the active suspension structure, the performance of the passive suspension system under different wheel load index is presented by using the transfer function of the system. Then, by adding a wheel-load, the classical PID controller is designed and applied to the current controlled hydraulic actuator as a part of active suspension system. The parameters of this controller are determined by three heuristic optimization algorithms; Particle Swarm Optimization (PSO), Differential Evolution (DE) and Gravitational Search Algorithm (GSA). As the second part of this study after evaluating the performance of classical PID controller, fractional-order PID controller is designed and applied to the problem to improve the performance of the classical PID controller. Similarly, the parameters of this controller are also obtained by using the same optimization algorithms. In the paper, for modeling the road, instead of sinusoidal (road with hill) or random changes, a saw tooth signal is preferred as a relatively harder condition. Implementation results are showed that the performance of the fractional-order PID controller is much better that PID controller and also instead of relatively complex and expensive controller, it is possible to use fractional-order PID controller for the problem.

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