Mujde Guzelkaya

TL;DR: A self tuning fuzzy PID type controller is proposed for solving the load frequency control (LFC) problem, and the proposed self tuning mechanism depends on the peak observer idea, and this idea is modified and adapted to the LFC problem.

TL;DR: The robustness and effectiveness of the new self-tuning algorithm have been compared with the other related tuning methods proposed in the literature through simulations.

TL;DR: An on-line tuning method is proposed for fuzzy PID controllers via rule weighing that is demonstrated on linear and non-linear systems by simulations and a real time application of this new method is accomplished on a pH neutralization process.

TL;DR: A new intelligent hybrid controller that blends the classical PID and the fuzzy controllers in an intelligent way has been achieved and thus ‘better’ system responses in terms of transient and steady-state performances when compared to the pure classical PID or the pure fuzzy controller applications.

TL;DR: In this study, an inverse controller based on a type-2 fuzzy model control design strategy is introduced and this main controller is embedded within an internal model control structure that improves the closed-loop performance to disturbance rejection as shown through the real-time control of the pH neutralization process.