A controller is the most important part of an automatic control system. Its main purpose is to
receive the signals from a transmitter and to compare it with a reference value. Depending …

This paper presents a Model Predictive Control (MPC) technique for frequency stabilization
of renewable power systems with inherent nonlinearities. To prove the effectiveness of the …

This paper developed an adaptive PID flight controller based on parameter optimization with
fuzzy inference for controlling the altitude dynamics of the Aerosonde UAV. The online fuzzy …

This paper proposes a decentralized design of Load Frequency Control (LFC) for a real
hybrid power system in Egypt with the integration of Renewable energy Sources (RESs) …

This study presents the construction process of a novel spherical rolling robot and control
strategies that are used to improve robot locomotion. The proposed robot drive mechanism …

This work focuses on use of particle swarm optimization (PSO) to identify the optimal PID
controller gains in speed control of a conveyor system. The proposed method is …

This paper presents the tuning of Proportional Integral Derivative (PID) controller parameter
using a novel Tree Physiology Optimization (TPO). TPO is another variant of metaheuristic …

Plant process is a form of a process which requires a robust controller to regulate the
process. Therefore, tuning of the controller for the specific process is necessary and each …

In this paper, a multi variable PID controller design based on Non-dimensional Tuning
(NDT) and Particle Swarm Optimisation (PSO) methods are proposed. Multivariable system …

This paper presents a discrete-time model of an optimal controller based on Particle Swarm
Optimization (PSO) algorithm for Egyptian Power System-Load Frequency Control (EPS …