Abstract: This paper proposes a PID controller design for Magnetic Levitation System (MLS), focusing on efficient parameter tuning using the Genetic Algorithm (GA). Additionally, the study examines ...

Optimization techniques like Genetic-based algorithms derive the Genetic operations to yield the optimal result in a given optinmzation problem. In the realm of controller tunning, finding the most ...

Abstract: In view of the characteristics of the industrial production control system with multi-parameters, nonlinear, long time delay, an improved Fuzzy-PID controller was put forward with real time ...

This project implements a novel Greater Cane Rat Algorithm (GCRA) to tune PID controller parameters for a magnetic levitation (Maglev) system. The algorithm aims to minimize common time-domain ...

In the nearly 40 years since electronic control systems first became common features of industrial machines, controls theory has necessarily evolved to keep pace with machine design. Early on, systems ...

The introduction of inverse feedback and control loops incorporating it was a brilliant advance in the history of engineering, but it was soon followed (probably on that very same day!) by the ...