In general, natural lightning flashes can be distinguished based on the charge that they neutralize (positive or negative), and if they reach the ground (Cloud-to-Ground - CG) or remain in the cloud (Intracloud - IC)....
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In this paper, new functionalities are presented for the Portable System for Automatic Acquire of Electrical Signals for Supercapacitor Characterization (SAAESSC) [1]. These supercapacitors can be used in low consumpt...
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A dynamic magnesiothermic reduction (DMR) of various silica having different size and porosity is conducted to study the effects of silica properties on the ⅰ) DMR reaction kinetics, ⅱ) properties of resulting pSi m...
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Exoskeletons are wearable mechanisms which, parallel to the wearer's joints, modulate movements through active or passive torque application. While existing upper-limb exoskeletons offer benefits in strength augme...
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The development of OT and IT technology and industrial growth requires the design of automation systems that can accommodate scalability and interoperability between devices. OPC UA is a communication protocol that br...
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In modern electrification and transportation industries, powertrains based on wide bandgap devices face many challenges that must be considered during the design, especially regarding power quality at the network/load...
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The world has been experiencing a fast change in the production and use of electrical energy. The electric power system is fast changing from the conventional centralized generation to a more distributed generation (D...
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Throughout many Industries, pulse width modulation voltage source inverters (PWM-VSI) are commonly utilized within adjustable speed drives (ASD) to control induction motors. For many application within various heavy i...
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Medical Gas is an important component in the treatment of patients with COVID-19 disease. Medical gas is used to help COVID-19 patients to reduce the effects of respiratory disorders by providing oxygen ventilators to...
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This work presents a performance comparison between the newly developed Manta Ray Foraging Optimization (MRFO) and two different variants created for tuning a decentralized fractional order proportional-integral-deriv...
This work presents a performance comparison between the newly developed Manta Ray Foraging Optimization (MRFO) and two different variants created for tuning a decentralized fractional order proportional-integral-derivative (FOPID) controller for a multiple-input multiple-output (MIMO) application. The application consists of a ball mill pulverizing system to pulverize coal and maximize fuel efficiency. MRFO and its applications have the task of finding the optimal controller variable values to control the system's temperature and pressure. The MRFO is a metaheuristic based on the behavior of manta rays, and although it shows efficient performance it may be improved through the use of techniques which generate new variants of the algorithm. Two techniques were used in the de-velopment of new variants: Quantum mechanics and opposition-based learning. The three different versions of MRFO were used to minimize a custom fitness function which is a combination of the integral time squared error (ITSE) and the overshoot of the system response. Simulations were carried using Simulink and Matlab softwares. For analyzing the performances, statistical measures such as minimum, maximum, best, mean, median, and standard deviation of the fitness function over 50 runs were used. Additionally, the different variants were also compared for minimizing 10 benchmark functions. The results show that the use of the previously mentioned techniques improve the performance of the original MRFO in optimizing the FOPID to control the ball mill pulverizing system.
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