This paper investigates a novel direct torque control (DTC) for a sensorless interior permanent magnet synchronous motor (PMSM) based on a sliding mode technique (SMC). The speed and position of the interior PMSM are estimated online based on active flux concept. To overcome the large ripple content associated with the direct torque, a torque/flux sliding mode controller has been employed. Two ...

Air quality prediction is highly important in view of the health impacts caused by exposure to air pollutants in urban air. This work has presented a model based on support vector machine (SVM) technique to predict daily average carbon monoxide (CO) concentrations in the atmosphere of Tehran. Two types of SVM regression models, i.e. -SVM and -SVM techniques, were used to predict average daily C...

Nowadays support vector machines (SVM) are among the most popular tools for data clustering. Even though the basic SVM technique works only for 2-classes problems, in the last years many variants of the original approach have been proposed, such as multi-class SVM for multiple class problems and single-class SVM for outlier detection. However, the former is based on a supervised approach, and t...

The integration of wind turbines (WTs) in variable speed drive systems belongs to the main factors causing low stability electrical networks. Therefore, order avoid this issue, WTs hybridization with a storage system is mandatory. This paper investigates WT operating at speed. contains permanent magnet synchronous generator (PMSG) supported by battery (BSS). To enhance quality active and reacti...

In view of the attractive features like improved torque density, reduction pulsation, superior fault tolerance, reduced power rating voltage source converter, and sterling noise characteristics six-phase asymmetrical induction motor (SPAIM) as compared to its three-phase counterpart, SPAIM is considered for study. this paper, mathematical modelling carried out in synchronous reference frame the...

In this paper, a statcom without any energy storage devices is proposed to compensate network voltage during disturbances. This statcom utilizes a matrix converter in its topology which eliminates the DC-link capacitor of conventional statcom. The modulation method for matrix converter which is used in this paper is space vector modulation. There are some methods to improve power quality for se...

Support Vector Machines (SVM) and Independent Component Analysis (ICA) are two powerful and relatively recent techniques. SVMs are classifiers which have demonstrated high generalization capabilities. ICA is a feature extraction technique which can be considered a generalization of Principal Component Analysis (PCA). In this paper we combine these two techniques for the face recognition problem...

This project uses Support Vector Machines (SVM) for a gender classification problem. SVM technique was applied for the training data and test data created from the given dataset GENDER. It is a two-class problem where the classes are not linearly separable. Kernel methods for mapping the data onto a higher dimensional space were used. The performance of the two-class classifier based on SVM was...

a simple and rapid method for the determination of 137ba isotope abundances in water samples by inductively coupled plasma-optical emission spectrometry (icp-oes) coupled with least-squares support vector machine regression (ls-svm) is reported. by evaluation of emission lines of barium, it was found that the emission line at 493.408 nm provides the best results for the determination of 137ba a...