While the Expectation-Maximization (EM) algorithm is a popular and convenient tool for mixture analysis, it only produces solutions that are locally optimal, and thus may not achieve the globally optimal solution. This paper introduces a new algorithm, based on the global optimization algorithm Model Reference Adaptive Search (MRAS), designed to produce globally-optimal solutions in the estimat...

1,2 Department of EEE, Sree Buddha College of Engineering, Pattoor, Alappuzha Abstract— Model Reference Adaptive System (MRAS) based speed sensorless estimation of vector controlled induction motor drives are presented in this paper. New speed and current estimation techniques are presented. These are used to formulate a single current sensor based vector controlled drive. The proposed method i...

A modified integral sliding mode control-based adaptation algorithm (MISMCA) is described to enhance performance of sensorless rotor flux model-reference-adaptive-system (RF-MRAS) induction motor drive (IMD). At low speed regions, RF-MRAS not guaranteed due conventional PI-based (PIA) and parameter uncertainties, especially time constant. In order improve RF-MRAS, the PIA replaced by an based o...

The obese spontaneously hypertensive rat (SHROB) is a model of metabolic syndrome in which, to our knowledge, vascular function has never been studied. The actions of insulin sensitizers (glitazones) on vascular function have not been analyzed either. Our purpose was to characterize microvascular and macrovascular responses of the SHROB and to study the effects of glitazones on these responses....

This paper aims to evaluate the dynamic performance of a five-phase PMSM drive using two different observers: sliding mode (SMO) and model reference adaptive system (MRAS). The design vector control for is firstly introduced in details visualize proper selection speed current controllers’ gains, then construction observers are presented. stability check also presented analyzed, finally evaluati...