8,172 research outputs found
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Evaluation of fuzzy logic techniques applied to the control of electrical machines
Este artÃculo presenta un trabajo desarrollado para una evaluaciÃģn de la aplicaciÃģn de tÃĐcnicas de
lÃģgica difusa (fuzzy) al control de mÃĄquinas elÃĐctricas, y mÃĄs especÃficamente a un motor de
inducciÃģn trifÃĄsico. Se realiza una introducciÃģn del Matlab/Simulink, utilizado para desarrollar y
simular todo el sistema basado en la tÃĐcnica referida. Asimismo se presenta la herramienta
informÃĄtica fuzzyTECH, empleada para desarrollar, depurar y posteriormente generar el cÃģdigo
correspondiente al sistema de control. En este trabajo se compara la ejecuciÃģn de un regulador
fuzzy con un regulador PI y se demuestra que, mediante una elecciÃģn adequada de las reglas y de
las funciones pertenencia, su comportamiento dinÃĄmico es mejor, principalmente, en tÃĐrminos de
la insensibilidad a la variaciÃģn de parÃĄmetros. Los resultados obtenidos permite inferir que las
tÃĐcnicas de lÃģgica difusa es posible en este tipo de aplicaciones siendo una alternativa interesante
a las tÃĐcnicas de control clÃĄsico.This paper reports work that is being developed in the evaluation of fuzzy logic techniques applied
to the control of electrical machines, using the induction motor as an example. An overview of a
CACSD (Computer Aided Control System Design) tools is also presented: Matlab/Simulink, used to
design and simulate a control system based on the referred techniques; fuzzyTECH, used to
design, tune and subsequently generate the code which implements fuzzy controller. The
evaluation of the fuzzy logic controller behaviour is made through the comparison with a traditional
PI controller and it will be shown that, with a proper selection of membership functions, its dynamic
response is better, namely in terms of robustness. From the results obtained, it can be concluded
that the use of fuzzy logic control for this kind of applications is not only viable, but also an
interesting alternative to more conventional techniques.(undefined
ACTUALIZACIÃN DE LA BIBLIOTECA DEL SISTEMA LABCON (LABORATORIO REMOTO DE CONTROL AUTOMATICO)
El siguiente trabajo tiene como propÃģsito aumentar la cantidad de bloques que posee actualmente el sistema LabCon de modo que se disponga de una mayor cantidad de elementos para trabajar dentro de una simulaciÃģn, consecuentemente fue necesario crear un documento tipo tutorial dentro del cual se describen los diferentes pasos a
seguir para poder agregar un nuevo bloque (existen dos tipos de bloques: simulink y planta). AdemÃĄs, se modifico la interfase para mejorar el comportamiento con los diferentes bloques y se implementÃģ un nuevo bloque âFuzzy Logic Controllerâ para poder trabajar con simulaciones con un controlador difuso. Para poder confirmar el correcto funcionamiento del bloque âFuzzy Logic Controllerâ fue necesario crear un
archivo de control con extensiÃģn â.fisâ que posea toda la lÃģgica difusa y luego crear una simulaciÃģn en tiempo real usando la planta de tres tanques de agua representada dentro del sistema LabCon con el bloque tipo planta llamada âPlanta3Tâ.The pupporse of this paper is to increase the number of blocks that actually are in the LabCon System so we can have a large amount of elements to work inside a real-time simulation, so to achieve this objective was require to create a tutorial document with the neccesary steps to add a new block (there are two kinds of block: simulink and plant). Also, we need to modified the interfase to improve the behavior with the different blocks and a new block was created âFuzzy Logic Controllerâ to work with real-time simulations with a difuse controller. To confirm the correct performance from the block âFuzzy Logic Controllerâ was necessary to generate an archive with extension â.fisâ with the fuzzy logic programation and then create a real-time simulation using the plant of the three water tanks represented in the LabCon System with the block type plant called âPlanta3Tâ
Expert supervision of an anti-skid control system of a commercial aircraft
A rule-based supervising system that incorporates fuzzy logic has been designed to back-up a conventional anti-skid braking system (ABS). Expressing the expert knowledge about the ABS in terms of linguistic rules, the supervising fuzzy system adapts the reference wheel slip of the ABS with respect to the actual runway condition. Two approaches are presented: The first uses a simple rule-based decision logic, which evaluates a new reference slip directly from the measured system variables. The second approach employes an explicit identification of the runway condition, which is used as input information of a fuzzy system to evaluate a new reference slip. This application example demonstrates
the capabilities of a parallel use of conventional control
techniques and fuzzy logic
Min-Max Predictive Control of a Five-Phase Induction Machine
In this paper, a fuzzy-logic based operator is used instead of a traditional cost function for
the predictive stator current control of a five-phase induction machine (IM). The min-max operator
is explored for the first time as an alternative to the traditional loss function. With this proposal,
the selection of voltage vectors does not need weighting factors that are normally used within
the loss function and require a cumbersome procedure to tune. In order to cope with conflicting
criteria, the proposal uses a decision function that compares predicted errors in the torque producing
subspace and in the x-y subspace. Simulations and experimental results are provided, showing how
the proposal compares with the traditional method of fixed tuning for predictive stator current control.Ministerio de EconomÃa y Competitividad DPI 2016-76493-C3-1-R y 2014/425UniÃģn Europea DPI 2016-76493-C3-1-R y 2014/425Universidad de Sevilla DPI 2016-76493-C3-1-R y 2014/42
Platform Relative Sensor Abstractions across Mobile Robots using Computer Vision and Sensor Integration
Uniform sensor management and abstraction across different robot platforms is a difficult task due to the sheer diversity of sensing devices. However, because these sensors can be grouped into categories that in essence provide the same information, we can capture their similarities and create abstractions. An example would be distance data measured by an assortment of range sensors, or alternatively extracted from a camera using image processing. This paper describes how using software components it is possible to uniformly construct high-level abstractions of sensor information across various robots in a way to support the portability of common code that uses these abstractions (e.g. obstacle avoidance, wall following). We demonstrate our abstractions on a number of robots using different configurations of range sensors and cameras
Empowering and assisting natural human mobility: The simbiosis walker
This paper presents the complete development of the Simbiosis Smart Walker. The device is equipped with a set of sensor subsystems to acquire user-machine interaction forces and the temporal evolution of user's feet during gait. The authors present an adaptive filtering technique used for the identification and separation of different components found on the human-machine interaction forces. This technique allowed isolating the components related with the navigational commands and developing a Fuzzy logic controller to guide the device. The Smart Walker was clinically validated at the Spinal Cord Injury Hospital of Toledo - Spain, presenting great acceptability by spinal chord injury patients and clinical staf
GeneraciÃģn de piloto automÃĄtico difuso para maniobras de embarcaciones
This paper introduces a method to generate autopilots for ship headings by using issues from the observation of control actions performed by human operators. The controller is designed based on fuzzy logic and uses triangular membership functions for the antecedent and consequent functions for Singleton type. For an automatic adjustment of the consequential, the recursive least squares method was used. This method is used to generate and validate the course driver of a 350-m tanker, at different load conditions.Este documento presenta un mÃĐtodo para generar pilotos automÃĄticos para rumbo de embarcaciÃģn mediante el uso de asuntos provenientes de la observaciÃģn de acciones de control realizadas por operadores humanos. El controlador estÃĄ diseÃąado basado en lÃģgica difusa (fuzzy logic) y utiliza funciones de pertenencia triangular para las funciones antecedentes y consecuentes para tipo Singleton. Para un ajuste automÃĄtico de la consecuente, se utilizÃģ el mÃĐtodo de mÃnimos cuadrados recursivos. Este mÃĐtodo es utilizado para generar y validar el conductor de curso de un buque cisterna de 350 m, en diferentes condiciones de carga
Using Building Blocks to Design Analog Neuro-Fuzzy Controllers
We present a parallel architecture for fuzzy controllers and a methodology for their realization as analog CMOS chips for low- and medium-precision applications. These chips can be made to learn through the adaptation of electrically controllable parameters guided by a dedicated hardware-compatible learning algorithm. Our designs emphasize simplicity at the circuit levelâa prerequisite for increasing processor complexity and operation speed. Examples include a three-input, four-rule controller chip in 1.5-Ξm CMOS, single-poly, double-metal technology
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