This work is concerned with the development of control strategies for the Direct Internal Recycling Loop (DIRL) system, which is an essential part of the Tritium Fuel Cycle (TFC) for the fueling of fusion reactors. As a first step, a control-oriented model is developed that describes dynamic behavior of DIRL with inter...
This paper describes an advanced algorithm for current control in a modular multilevel power converter based on deadbeat model predictive control, which is further enhanced by applying an artificial neural network.
This paper presents a comprehensive literature review of recent advances in DC–DC converter technologies for hydrogen fuel cell power conditioning, with particular emphasis on proton exchange membrane fuel cells (PEMFCs) used in electric vehicle and stationary energy systems. Covering 29 peer-reviewed studies, the revi...
In the context of water scarcity and tightening environmental requirements, improving the energy efficiency of biological wastewater treatment processes has become particularly important. The aeration tank is one of the most energy-intensive and dynamically complex units, strongly affected by the variability in influen...
In this paper, a real-time optimized sigmoid-based energy management system (EMS) is proposed for a fuel cell hybrid vehicle (FCHV). The power demand is dynamically shared among the fuel cell, a lithium-ion battery (LIB), and an ultracapacitor. The sigmoid function is employed to regulate the full cell operation, ens...
With the increasing integration of intelligent sensing, industrial communication networks, and Electromagnetic Waves, Antennas and Propagation technologies in smart process industries, stable control of complex multivariable systems has become essential for reliable information acquisition and distributed decision-maki...
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