In this paper, a novel controller for brushless DC (BLDC) motor has been presented. The
proposed controller is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and the …

This paper presents the modeling of combined heat and power (CHP) systems for microgrid
applications. When generating electricity, a CHP unit can recycle waste heat to supply …

For Brush-less DC motors to function better under various operating settings, such as
constant load situations, variable loading situations, and variable set speed situations …

Considering DC motor's non-linear characteristics, design challenges and mechanical
variation due to the operation conditions, the precise controller cannot be performed using …

The constant innovative advancements of brushless DC motors (BLDCMs) have discovered
a wide scope of utilizations. For instance, underground electric vehicles, drones, and …

In industrial applications, the performance of robot manipulators is always affected due to
the presence of uncertainties and disturbances. This paper proposes a novel adaptive …

Emerging technologies such as Fuzzy Logic (FL) or Neural Network (NN) have received
wide attention in the field of system identification. These techniques have been claimed to …

Brushless DC (BLDC) motors have been increasingly considered in variable speed drives in
wide array of applications due to their significant features such as high efficiency, power …

Recent advances in transportation have proved that the use of upcoming trip data in energy
management of plug-in hybrid electric vehicles (PHEVs) is extremely effective in promoting …

This paper presents an investigative work about the application of State Space Model-Based
Predictive Control in a three-phase Permanent Magnet Synchronous Motor with trapezoidal …