Identifying multiple interacting bad data in power system state estimation

This paper presents an intelligent search strategy for the conforming bad data errors identification in the generalized power system state estimation, by using the tabu search meta heuristic. The main objective is to detect critical errors involving both analog and topology errors. These errors are represented by conforming errors, whose nature affects measurements that actually do not present bad data and also the conventional bad data identification strategies based on the normalized residual methods. ©2005 IEEE.

Convergence Property of the Measurement Gross Error Correction in Power System State Estimation, Using Geometrical Background

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Nonlinear state estimation and control for chaos suppression in MEMS resonator

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Nonlinear state estimation and control applied to a manipulator robotic including drive motor

A robotic control design considering all the inherent nonlinearities of the robot engine configuration is developed. The interactions between the robot and joint motor drive mechanism are considered. The proposed control combines two strategies, one feedforward control in order to maintain the system in the desired coordinate, and feedback control system to take the system into a desired coordinate. The feedback control is obtained using State Dependent Riccati Equation (SDRE). For link positioning two cases are considered. Case 1: For control positioning, it is only used motor voltage; Case 2: For control positioning, it is used both motor voltage and torque between the links. Simulation results, including parametric uncertainties in control shows the feasibility of the proposed control for the considered system.

Design of a state observer using decay rate LMI constraints for fault detection in mechanical systems

Nowadays, one of the most important concerns for many companies is to maintain the operation of their systems without sudden equipment break down. Because of this, new techniques for fault detection and location in mechanical systems subject to dynamic loads have been developed. This paper studies of the influence of the decay rate in the design of state observers using LMI for fault detection in mechanical systems. This influence is analyzed by the performance index proposed by Huh and Stein for the condition of a state observer. An example is presented to illustrate the methodology discussed.

Caracterização das glândulas mandibulares nas diferentes classes de adultos de Scaptotrigona postica Latreille (Hymenoptera: Apidae)

As glândulas mandibulares de operárias recém-emergidas, nutridoras e campeiras, rainhas virgens e fisogástricas, e machos maduros de Scaptotrigona postica Latreille foram estudadas histológica e morfometricamente. Estas glândulas apresentam diferenças histológicas características para cada idade e/ou função do indivíduo. de acordo com a morfometria conclui-se que as glândulas mandibulares possuem um ciclo secretor determinado, no qual a secreção começa a ser produzida nas operárias recém-emergidas, e acumula-se no citoplasma e reservatório da glândula das operárias nutridoras. Nas operárias campeiras o citoplasma encontra-se bastante vacuolizado, o que foi interpretado como resultado da eliminação da secreção. Rainhas fisogástricas apresentaram as maiores áreas celulares e nucleares, ao oposto dos machos, os quais apresentaram as menores áreas.

Line based camera calibration in machine vision dynamic applications

The problem of dynamic camera calibration considering moving objects in close range environments using straight lines as references is addressed. A mathematical model for the correspondence of a straight line in the object and image spaces is discussed. This model is based on the equivalence between the vector normal to the interpretation plane in the image space and the vector normal to the rotated interpretation plane in the object space. In order to solve the dynamic camera calibration, Kalman Filtering is applied; an iterative process based on the recursive property of the Kalman Filter is defined, using the sequentially estimated camera orientation parameters to feedback the feature extraction process in the image. For the dynamic case, e.g. an image sequence of a moving object, a state prediction and a covariance matrix for the next instant is obtained using the available estimates and the system model. Filtered state estimates can be computed from these predicted estimates using the Kalman Filtering approach and based on the system model parameters with good quality, for each instant of an image sequence. The proposed approach was tested with simulated and real data. Experiments with real data were carried out in a controlled environment, considering a sequence of images of a moving cube in a linear trajectory over a flat surface.

Analise de desempenho de observadores de estado robustos na localizacao de falhas

The state observers can reconstruct and monitor unmeasurable states. A new concept of fault detection and isolation using state observers is presented. The method selects the parameters from components that may fail during the process and constructs optimized robust observers. To isolate component failures via robust observation, a bank of detection observers is organized, in which each observer is only sensitive to one specified component failure while robust to all other component failures. This paper analyzes the performance of transient and steady-state behavior of the state observer.

Cell nucleus activity during post-embryonic development of Apis melliferaL. (Hymenoptera: Apidae). Intranuclear acid phosphatase

We report nuclear acid phosphatase activity in the somatic (intra-ovariolar and stromatic) and germ cells of differentiating honey bee worker ovaries, as well as in the midgut cells of metamorphosing bees. There was heterogeneity in the intensity and distribution of electron dense deposits of lead phosphate, indicative of acid phosphatase activity in the nuclei of these tissues, during different phases of post-embryonic bee development. This heterogeneity was interpreted as a variation of the nuclear functional state, related to the cell functions in these tissues.

Linear quadratic Gaussian control of discrete-time Markov jump linear systems with horizon defined by stopping times

The linear quadratic Gaussian control of discrete-time Markov jump linear systems is addressed in this paper, first for state feedback, and also for dynamic output feedback using state estimation. in the model studied, the problem horizon is defined by a stopping time τ which represents either, the occurrence of a fix number N of failures or repairs (T N), or the occurrence of a crucial failure event (τ δ), after which the system paralyzed. From the constructive method used here a separation principle holds, and the solutions are given in terms of a Kalman filter and a state feedback sequence of controls. The control gains are obtained by recursions from a set of algebraic Riccati equations for the former case or by a coupled set of algebraic Riccati equation for the latter case. Copyright © 2005 IFAC.

Caracterização e análise do estado mental e funcional de idosos institucionalizados em instituições públicas de longa permanência

Background: This study had as objective to characterize the institutionalized elderly residents in three long-term care facilities, about their functional capacity and mental state, and to evaluate if there is a correlation between both. Methods: To do so, three instruments were used: an identification form, the Mini-Mental State Examination (MMSE) and Barthel's Index. For statistical analysis the Person's Correlation and ANOVA Test were used. Results: The population studied consisted of 115 elders with ages between 62 and 104 years old, 40.66% females and 59.13% males. 49.56% are literate and 50.43% illiterate. Regarding the marital status, singles (46.65%) and widows (21.8%) were predominant. About the mental and functional state, there was a high rate of elders showing cognitive decline (76.72%) and functionally independent (75.65%). Conclusions: According to the results, one can notice that there is a mild degree of correlation between the Barthel's Index and MMSE (r = 0.441; p < 0.000), and the variables of gender and age are not influenced in the results of these instruments. There is a significant statistical relation (p < 0.0001) between education and mental and/or functional state of the individual.

Observer-based control design for switched affine systems and applications to DC-DC converters

This paper deals with the problem of establishing a state estimator for switched affine systems. For that matter, a modification on the Luenberger observer is proposed, the switched Luenberger observer, whose idea is to design one output gain matrix for each mode of the original system. The efficiency of the proposed method relies on a simplification on estimation error which is proved always valid, guaranteeing the estimation error to asymptotically converge to zero, for any initial state and switching law. Next, a dynamic output-dependent switching law is formulated. Then, design methodologies using linear matrix inequalities are proposed, which, to the authors's knowledge, have not yet been applied to this problem. Finally, observers for DC-DC converters are designed and simulated as application examples. © 2013 Brazilian Society for Automatics - SBA.

Desenvolvimento de um estimador de estado para sistemas de distribuição de energia elétrica desbalanceados

Pós-graduação em Engenharia Elétrica - FEIS

Desenvolvimento e avaliação de um modelo de assistência contínuo, paliativo e domiciliar a pacientes com câncer mamário ou ginecológico fora de possibilidade de cura

Pós-graduação em Ginecologia, Obstetrícia e Mastologia - FMB

Desenvolvimento de um sistema de gerenciamento de energia (EMS - Energy Management System) para a rede elétrica inteligente (Smart Grid)

Pós-graduação em Engenharia Elétrica - FEIS