PID controllers are important control methods that are widely used in industrial processes.
Proper tuning of PID gains is critical for achieving the state-of-the-art system performance …

Various optimization techniques were applied to obtain optimal values of PID controllers to
improve the performance of different systems for different applications. Over the years …

The paper introduces a comparative analysis between three meta-heuristic techniques in
the optimization of Proportional-Integral-Derivative (PID) controller for a cascaded control of …

The Proportional-Integral-Derivative (PID) controller is a widely used feedback control
mechanism in various applications, including automobile cruise control systems. The …

In this paper, a recently developed meta-heuristic optimization method, Whale optimization
Algorithm (WOA) is used to tune the parameters of PID controller for different systems. The …

Tuning the PID (proportional-integral-derivative) controller is one of the most important tasks
to achieve accurate control. Many methods have been developed to tune the values of P, I …

This paper presents a tuning process for PID controllers using meta-heuristic algorithms of
artificial intelligence and mathematical optimization, specifically the genetic algorithm (GA) …

For the difficulties of PID controller parameter optimization, we have put forward a novel
depiction method PPOGS (PID Parameters Optimization based on Glowworm Swarm). By …

In nowadays industry, most processes are controlled and automated. Interestingly, PID
controllers are major contributors to the control process since they were invented and …

This paper contributes to find the optimal PID controller parameters using particle swarm
optimization (PSO), Genetic Algorithm (GA) and Simulated Annealing (SA) algorithm. The …