In this work, we propose a new control law based on the combination between the Particle Swarm Optimization (PSO) method and the classical PI controller to extract the maximum power from a photovoltaic PV panel subject to partial shading. The photovoltaic PV panel has a nonlinear Power-Voltage (P-V) characteristic curve which is used in most controllers to find the Maximum Power Point (MPP). In...

this paper presents designing an optimal adaptive controller for tracking control of robot manipulators based on particle swarm optimization (pso) algorithm. pso algorithm has been employed to optimize parameters of the controller and hence to minimize the integral square of errors (ise) as a performance criteria. in this paper, an improved pso using logic is proposed to increase the convergenc...

This paper presents an enhancement method to improve the performance of DC-link voltage loop regulation in a Doubly-Fed Induction Generator (DFIG)- based wind energy converter. An intelligent, combined control approach on metaheuristics-tuned Second-Order Sliding Mode (SOSM) controller and adaptive fuzzy-scheduled Extended State Observer (ESO) is proposed successfully applied. The fuzzy gains-s...

Recently, genetic algorithms (GA) and particle swarm optimization (PSO) technique have attracted considerable attention among various modern heuristic optimization techniques. Since the two approaches are supposed to find a solution to a given objective function but employ different strategies and computational effort, it is appropriate to compare their performance. This paper presents the appl...

Recently, genetic algorithms (GA) and particle swarm optimization (PSO) technique have attracted considerable attention among various modern heuristic optimization techniques. Since the two approaches are supposed to find a solution to a given objective function but employ different strategies and computational effort, it is appropriate to compare their performance. This paper presents the appl...

In this work, we propose a new control law based on the combination between the Particle Swarm Optimization (PSO) method and the classical PI controller to extract the maximum power from a photovoltaic PV panel subject to partial shading. The photovoltaic PV panel has a nonlinear Power-Voltage (P-V) characteristic curve which is used in most controllers to find the Maximum Power Point (MPP). In...

In this work, we propose a new control law based on the combination between the Particle Swarm Optimization (PSO) method and the classical PI controller to extract the maximum power from a photovoltaic PV panel subject to partial shading. The photovoltaic PV panel has a nonlinear PowerVoltage (P-V) characteristic curve which is used in most controllers to find the Maximum Power Point (MPP). In ...

In this paper, integral plus double derivative (IDD) in coordination with Thyristor Controlled Phase Shifter (TCPS) is applied for the first time in automatic generation control (AGC) system. Comparative studies on the performance of different classical controllers viz. integral (I), proportional plus integral (PI), proportional plus integral plus derivative (PID) and integral plus double deriv...