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One of the most important features of the Smart Grid (SG) is real-time self-assessment which may threat that target power system stability. In order to improve robustness of power systems against such attacks, accurate estimation of the power system operation is required and conventional power flow methods should be upgraded. In this paper, we derive minimum variance unbiased estimators (MVUEs) for...
A particle filter based power system dynamic state estimation scheme is presented in this paper. The proposed method can be considered as an alternative to the other schemes which are mostly based on the Kaiman Filter. The particle filter approach can be used to estimate the states of nonlinear systems which are subjected to both Gaussian and non-Gaussian noise. Furthermore, the presented scheme has...
In this paper the common-mode noise generation mechanism and its suppression is presented for the hard-switched isolated full-bridge forward topology. Due to the extensive interleaving of primary and secondary windings, such transformers exhibit large inter-winding capacitance which is the well-known cause of large common-mode noise current in the converter. Therefore, the effect of this large coupling...
Proposed in this paper are three different implementations for digital average current mode control for DC-DC converters operating in the continuous conduction mode. The advantages and disadvantages of each implementation are described. Design procedures for the both the voltage and current loops are described. Using a boost converter prototype, the dynamic performance of all three implementations...
This paper presents low-switching-loss and low-switching-noise gate driver for Silicon-Carbide (SiC) — Metal-Oxide-Semiconductor Field-Effect-Transistor (MOSFET) with gate boost circuit which is very simple and cost-effective. Compared to a conventional gate drive circuit, the proposed gate driver has capability of reducing the switching losses and switching time without increasing switching noise...
In this paper, a small scale wind generator with permanent magnet synchronous machine is modeled experimentally. This small scale wind generator is connected to the DC microgrid through three-phase diode bridge and DC/DC converter. A control of DC/DC converter by nested loops can properly control the electrical parameters of the system. A simple and robust maximum power point tracking method using...
This paper presents an educational experiment designed for enabling students to interact with a domain of great interest — leakage detection and monitoring. Students will create LabVIEW/MATLAB programs and will use already existing applications in order to get familiar with signal processing concepts like Cross Correlation, Time Delay Estimation and Signal Whitening. Their activity is supported by...
An adaptive delta-sigma modulator which can be utilized for the zero-cross switching control of resistive heaters with AC line for thermal control is proposed. By adjusting the horizon width for the cost function of the modulator control scheme according to the command signal, the modulator has both a good performance of quantum noise suppression and a wide operating range simultaneously. A numerical...
Noise characteristics for the Microsoft Kinect sensor are presented. Horizontal (x) and vertical (y) stochastic noise are measured using a novel 3D checker board. Results show that the noise is affected mostly by the depth at which the object is sensed and by the radial distance from the center of the field of view. Measurement-based models for the noise in horizontal and vertical axes are presented...
This paper proposes a reduction method of stochastic disturbance that is focused on haptic information in the micro space. Presently in the industry, haptic information is attracting attention as the tertiary media following audio and visual information. Haptic information has characteristics of bidirectionality and scaling that extended human ability by using master and slave robots. Especially,...
Recently, autonomous robots have been widely used in the production field. There are several advantages to introducing industrial robots in factories. However, these robots cannot be used in unknown environments because most of them are controlled by sequence controls. Two cameras are used as vision sensors that can recognize the outside environment to solve this problem. In this study, we aim at...
This paper proposes a new wideband bilateral motion-scaling control to apply in the small size robot system. The scaling Hadamard matrix is applied to reduce or magnify the force and position response of bilateral motion-scaling control. The technique to estimate the action/reaction forces of master-slave robot is designed using Kalman-filter based disturbance observer (KFDOB). Optical encoder and...
Since the emergence of the commodity-priced, small-sized Microsoft Kinect™ sensor, 3D object pose estimation has become prevalent in many applications across a wide variety of disciplines. However, because most current methods require a hard assignment between a measurement point cloud and a given CAD model point cloud for alignment, accurate pose estimation is limited to a small range of sensor noise...
In this paper, a linear unbiased minimum-variance filtering problem is considered for a class of systems with randomly multi-step sensor delays. A new mathematical model is established for the multi-step sensor delays. Different from the augmented method for dealing with delayed systems, a linear unbiased minimum-variance filter design method is proposed without augmenting the state vector, which...
In this paper are presented some preliminary results on an autonomous lift subsystem made with the interconnection of a DC/AC controlled converter, a salient permanent magnet synchronous motor (SPMSM), the charge and counterweight and the mechanical transmission system. These results are firstly the derivation of a Bond Graph and a related Port-Controlled Hamiltonian (PCH) models and, secondly, the...
An experimental investigation of three adaptive algorithms for tracking the fundamental frequency in electric transmission grids is reported. An adaptive Prony's method, an adaptive notch filter and an extended Kaiman filter have been presented in this paper. The design principles and the validity of the models have been sketched. For each method, appropriate models are presented and parameter adjustment...
Non-intrusive load monitoring (NILM) is an important topic in smart-grid and smart-home. Many energy disaggregation algorithms have been proposed to detect various individual appliances from one aggregated signal observation. However, few works studied the energy disaggregation of plug-in electric vehicle (EV) charging in the residential environment since EVs charging at home has emerged only recently...
This paper studies the operation of a microgrid under various scenarios with a focus on the effect of communication delays. The test microgrid is the CIGRE-IEEE low-voltage system, and a variety of loads are modeled in the system, including a nonlinear load, an impulse load, a battery, a highly capacitive load, and a highly inductive load. The simulation studies cover three scenarios: 1) a system...
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