This paper presents the method of reducing torque ripple of brushless DC (BLDC) motor. The commutation torque ripple is reduced by control of the DC link voltage during the commutation time. The magnitude of voltage and commutation time is estimated by a neural network and optimized with an optimization method named particle swarm optimization (PSO) algorithm analysis. The goal of optimization ...

In this paper, the solar panel using fuzzy controlled maximum power point tracking is analysed for a brushless DC motor (BLDC). The BLDC is powered by the solar panel through an integrated inverter circuit to produce an AC signal. The solar panel power obtained is tracked by an artificial intelligent technique using fuzzy logic controller to extract the maximum power from the panel. The maximum...

This paper presents a fuzzy logic controller for brushless direct current (BLDC) permanent magnet motor drives. Initially a fuzzy logic controller is developed using MATLAB Fuzzy-Logic Toolbox and then inserted into the Simulink model. The dynamic characteristics of the brushless DC motor such as speed, torque, current and voltage of the inverter components are observed and analyzed using the d...

as a tunction c ot compresslon This paper discusses the performance of bilevel-image arithmetic coders, ABIC and JBIG, and Lempel-Ziv string compressors, ALDC and BLDC. Images are analyzed for typical and worst-case throughput and latency as a function of compression. A relationship between the compressibility of an image and the throughput performance of the compression algorithm is demonstrat...

The utility of PM-BLDC machines is extending its tentacles in industrial arena. The key features of BLDC machines include high starting torque density and extending speed range, though the cogging torque is a threat for its performance. Various techniques have been devised to minimize cogging torque, out of which two approaches Bifurcation and Slot Opening methods have been focused in this pape...

This paper presents the detailed mathematical and Simulink® model of a two-phase stepper BLDC motor in the machine variables, proving the rotor's position role in supplying the motor. Then an extended Kalman filter (EKF) is designed to estimate the motor state variables: stator currents, and the rotor position and velocity, on the basis of noisy measurements of stator currents, since it has a n...