In this paper, an efficient control strategy for three-phase four-switch inverter-fed Brushless DC Motor (BLDCM) drives with trapezoidal back Electromotive Force (EMF) is proposed. the proposed approach, outer loop adjusting motor speed designed using Model Predictive Control (MPC) while inner based on a hysteresis controller regulates BLDC phase currents. To effectively adjust current of uncon...

The paper deals with experimental friction identificat ion method of a DC motor. For precise positioning tasks a friction phenomenon plays a large problem. For this a friction has to be identified and subsequently compensated if it is important. At first the paper deals with basic friction models. In the next section the DC motor mathemat ical model is stated. The DC motor friction identificat ...

Today, DC motors is still being used globally due to their easy speed controllability. In this article, an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller is designed for DC motors. The main purpose of performing such task is to reduce the DC motor starting current and deleting the ripple current during starting time in considering control parameters such as: rise time, settling time, ...

Model complexity may have a significant impact on transient stability results of mixed AC/DC systems. The dynamics of various mixed AC/DC models with a focus on different generator orders and multi-level modular converter (MMC) VSCHVDC model types is investigated within this paper. MMC VSC-HVDC converter models are based on average value model (AVM) and simplified AVM, while 2 nd , 3 rd and 6 t...

This paper presents the design and implementation of Arduino Uno based DC motor speed control system using Multilayer Neural Network controller and PID controller. A model reference structure is developed using PID control to obtain the neural controller .The artificial neural network is trained by Levenberg-Marquardt back propagation algorithm. Feed forward neural network with two hidden neuro...