DC motors are commonly employed in many industrial applications due to their various advantages. This study aims to compare the response of the Oustaloup-Recursive-Approximation (ORA) and El-Khazali’s approximation method in controlling a DC motor with a FOPID controller. The two employed methods are used to design the FOPID and approximate. For various fractional orders, many behaviours are presented. A simulation comparison between these methods is performed regarding overshoot, settling time and rise time. © 2022 IEEE.
MPPT for a Partially Shaded PV System Using Accelerated Particle Swarms
MPPT is developed to get the most power out from photovoltaic (PV) modules in various conditions, including changing weather and partial shading (PS). The partial shade of a PV system is a significant issue. PV systems’ power characteristics are so complicated under PS that there are a variety of MPPs. Traditional MPPT methods may become stuck in Local MPPs(LMPPs) instead of Global MPPs (GMPP). The GMPP can be tracked fast and correctly using accelerated particle swarm optimization (APSO). By comparing the employed algorithm to the traditional ones, simulation results validate the optimization performance. © 2021 IEEE.
Power tracking controller design for photo-voltaic systems based on particle swarm optimization technique
Solar energy turns into a promising supply of electricity, so structures of Photo-voltaic (PV) regularly use a maximum power point tracking (MPPT) way to deliver the highest probable power to the load continuously
Design of fopid controller for a dc motor using approximation techniques
This paper introduces a study of fractional-order PID (FOPID) controller applied to a DC motor
Speech Encryption on FPGA Using a Chaotic Generator and S-Box Table
2019Abdel-Gawad A.H.Confrence PaperMadian A.H.Mohamed A.T.Radwan A.G.Saleh H.I.Tolba M.F.Yassin H.M.
In this paper, we proposed a new technique for designing a dynamic S-box depended on the idea of DNA module and Chaotic system to increase its security
Arithmetic optimization approach for parameters identification of different PV diode models with FOPI-MPPT
The Maximum Power Point Tracker (MPPT) provides the most efficient use of a Photo-voltaic system independent of irradiance or temperature fluctuations. This paper introduces the modeling and control of a photo-voltaic system operating at MPPT using the arithmetic optimization algorithm (AOA). The single and double Photo-voltaic models are investigated. Their optimal unknown parameters are extracted using AOA based on commercial Photo-voltaic datasheets. A comparison is performed between these optimal parameters extracted by AOA and other optimization techniques presented in the literature. These parameters generate the P – V and I – V curves for the studied models considering the temperature factor. A good match is achieved relative to the manufacturer data. A DC-DC boost converter is used as a link between the PV modules and the load. The converter duty cycle is adjusted, varying the climatic conditions using three cases: without a controller, using PI controller, and using the fractional-order PI controller (FOPI). The AOA is employed to set the optimum controllers parameters to maintain the impedance matching between the PV modules and the load. The FOPI shows a significant improvement in controlling the system performance. © 2021 THE AUTHORS
Optimal fractional-order PI with DC-DC converter and PV system
This paper presents a design and analysis for the PV system with a DC-DC boost converter controlled by the Fractional Order PI controller (FOPI)