Abstract Moth–Flame Optimization (MFO) algorithm, which is inspired by the navigation
method of moths, is a nature-inspired optimization algorithm. The MFO is easy to implement …

Global energy demand is experiencing a notable surge due to growing energy security.
Renewable energy sources, like ethanol, are becoming more viable. In the present study …

The control performance of the control system directly affects the running performance of the
product. In order to solve the problem that the dynamics characteristics of mechanical …

PID controllers are crucial for industrial control because of their simple structure and good
robustness. In order to further improve the accuracy of PID controllers, this paper proposes …

Considering the four challenges of non-identical initial states, non-repetitive uncertainties,
different batch lengths, and unavailable mathematical model of a rubber mixing process …

Speed control of DC motors is essential for automated vehicles and four-wheel differential
drive (4WD) cars, which are distinct by their high level of maneuverability. The PID controller …

This study presents online-tuning approach using the moth flame optimization (MFO)
algorithm to optimize the parameters of PID and modified PID (I-PD) controllers used in the …

To improve the control accuracy of the stepper motor, a PID controller based on an improved
sparrow search algorithm (ISSA-PID) is designed to improve the response speed as well as …

This study uses the enhanced moth flame optimization (EMFO) algorithm with an online
tuning approach to optimize the parameters of a variable range split range PID (SRPID) …

This research work presents the PID controller in a conventional scheme, a standard split
range scheme, and a variable range of split range scheme for temperature control of the …