While current control and PWM switching play the most direct role in driving brushless DC motors, the motion profile and ...

Abstract: This paper proposes a simple mixed-carrier-based PWM strategy driven through a hysteresis control to address the issues related to voltage imbalances and low-frequency oscillation in the ...

Abstract: The application of real-time visual tracking in laparoscopic surgery has gained significant attention in recent years, driven by the growing demand for precise and automated surgical ...

Abstract: Artificial intelligence (AI) has become essential in dealing with the growing complexities of modern power electronic systems (PESs). In the context of Industries 4.0, 5.0, and especially ...

Abstract: The fuzzy adaptive state and output quantization bilateral cooperative control problem for nonlinear multiagent systems (NMASs) is studied. Since the considered system is nonlinear, fuzzy ...

The energy sector faces growing complexity and demand, but AI offers a transformative solution. AI can optimize energy systems, manage assets, and boost end-use efficiency, potentially saving 3,700 ...

Abstract: Wind and photovoltaic power plants connected to weak grids can bring stability problems. The grid-connected inverter is an important connection port between the renewable energy and the grid ...

Abstract: The proposed research develops a unique solar power Maximum Power Point Tracking (MPPT) system which implements Deep Learning approaches within a connected grid power system. Artificial ...

CROWN POINT — Crown Point football reinvented itself again.

Abstract: The efficacy of Maximum Power Point Trackers (MPPT) in enhancing the efficiency of photovoltaic (PV) modules has been well documented. They facilitate the maximization of power output from ...

Abstract: In industrial servo systems, components with lightweight materials and large size are susceptible to deformation and vibration due to their inherent flexibility. This study proposes ...