Control automatico de un sistema electrico mediante logica difusa

Substitution of fuzzy logic control in an electrical system normally controlled by proportional-integral frequency was studied and analyzed. A linear model of an electrical system, the concepts which govern the theory of fuzzy logic, and the application of this theory to systems control, are briefly presented. The methodology of fuzzy logic was then applied to develop a model for an electrical energy system. The results of the simulation demonstrated that fuzzy logic control eliminated the area frequency error and permitted that only the area experiencing an increase in charge responds to this variation. Based on the results, it is concluded that control based on fuzzy logic is simple, is easy to maintain, is of low cost, and can be used to substitute traditional velocity controllers.

Sistemas de Control Automático. Práctica 1 (curso 2010-2011)

Práctica 1 de la asignatura sistemas de control automático. Ajuste y sintonización de controladores.

Sistemas de Control Automático. Práctica 2 (curso 2010-2011)

Práctica 2 de sistemas de control automático. Control de velocidad mediante el autómata CP1L y el variador MX2 de Omron.

Sistemas de Control Automático. Práctica 3 (curso 2010-2011)

Práctica 3 de sistemas de control automático. Control de un PLC mediante tramas Host-Link generadas por un PC.

Sistemas de Control Automático. Tema 1: Introducción (curso 2010-2011)

Presentación tema 1 de sistemas de control automático. Introducción.

Sistemas de Control Automático. Tema 2: Análisis de sistemas (curso 2010-2011)

Presentación tema 2 de sistemas de control automático. Análisis de sistemas.

Sistemas de Control Automático. Tema 3: Espacio de estados (curso 2010-2011)

Presentación tema 2 de sistemas de control automático. Espacio de estados.

Sistemas de Control Automático. Tema 4: Implantación de sistemas de control (curso 2010-2011)

Presentación tema 4 de sistemas de control automático. Implantación de sistemas de control.

Sistemas de Control Automático. Apéndice. Control por computador (curso 2010-2011)

Presentación sistemas de control por computador.

Sistemas de Control Automático. Ejercicios resueltos (curso 2010-2011)

Ejercicios resueltos para la asignatura sistemas de control automático. Control de un motor de corriente continua.

Sistemas de Control Automático. Identificación experimental de sistemas (curso 2010-2011)

Métodos para la obtención del modelo de un sistema de forma experimental.

Sistemas de Control Automático. Guía de la asignatura (curso 2010-2011)

Sistemas de control automático. Guía de la asignatura.

Sistema automático para control y seguridad en Ciclo-Parqueaderos

Tesis (Ingeniero(a) en Automaziación).--Universidad de La Salle. Facultad de Ingeniería. Programa de Ingeniería en Automatización, 2014

A tutorial on pseudospectral methods for computational optimal control

[English] This paper is a tutorial introduction to pseudospectral optimal control. With pseudospectral methods, a function is approximated as a linear combination of smooth basis functions, which are often chosen to be Legendre or Chebyshev polynomials. Collocation of the differential-algebraic equations is performed at orthogonal collocation points, which are selected to yield interpolation of high accuracy. Pseudospectral methods directly discretize the original optimal control problem to recast it into a nonlinear programming format. A numerical optimizer is then employed to find approximate local optimal solutions. The paper also briefly describes the functionality and implementation of PSOPT, an open source software package written in C++ that employs pseudospectral discretization methods to solve multi-phase optimal control problems. The software implements the Legendre and Chebyshev pseudospectral methods, and it has useful features such as automatic differentiation, sparsity detection, and automatic scaling. The use of pseudospectral methods is illustrated in two problems taken from the literature on computational optimal control. [Portuguese] Este artigo e um tutorial introdutorio sobre controle otimo pseudo-espectral. Em metodos pseudo-espectrais, uma funcao e aproximada como uma combinacao linear de funcoes de base suaves, tipicamente escolhidas como polinomios de Legendre ou Chebyshev. A colocacao de equacoes algebrico-diferenciais e realizada em pontos de colocacao ortogonal, que sao selecionados de modo a minimizar o erro de interpolacao. Metodos pseudoespectrais discretizam o problema de controle otimo original de modo a converte-lo em um problema de programa cao nao-linear. Um otimizador numerico e entao empregado para obter solucoes localmente otimas. Este artigo tambem descreve sucintamente a funcionalidade e a implementacao de um pacote computacional de codigo aberto escrito em C++ chamado PSOPT. Tal pacote emprega metodos de discretizacao pseudo-spectrais para resolver problemas de controle otimo com multiplas fase. O PSOPT permite a utilizacao de metodos de Legendre ou Chebyshev, e possui caractersticas uteis tais como diferenciacao automatica, deteccao de esparsidade e escalonamento automatico. O uso de metodos pseudo-espectrais e ilustrado em dois problemas retirados da literatura de controle otimo computacional.

Development of control-oriented models of Dual Clutch Transmission systems

A control-oriented model of a Dual Clutch Transmission was developed for real-time Hardware In the Loop (HIL) applications, to support model-based development of the DCT controller. The model is an innovative attempt to reproduce the fast dynamics of the actuation system while maintaining a step size large enough for real-time applications. The model comprehends a detailed physical description of hydraulic circuit, clutches, synchronizers and gears, and simplified vehicle and internal combustion engine sub-models. As the oil circulating in the system has a large bulk modulus, the pressure dynamics are very fast, possibly causing instability in a real-time simulation; the same challenge involves the servo valves dynamics, due to the very small masses of the moving elements. Therefore, the hydraulic circuit model has been modified and simplified without losing physical validity, in order to adapt it to the real-time simulation requirements. The results of offline simulations have been compared to on-board measurements to verify the validity of the developed model, that was then implemented in a HIL system and connected to the TCU (Transmission Control Unit). Several tests have been performed: electrical failure tests on sensors and actuators, hydraulic and mechanical failure tests on hydraulic valves, clutches and synchronizers, and application tests comprehending all the main features of the control performed by the TCU. Being based on physical laws, in every condition the model simulates a plausible reaction of the system. The first intensive use of the HIL application led to the validation of the new safety strategies implemented inside the TCU software. A test automation procedure has been developed to permit the execution of a pattern of tests without the interaction of the user; fully repeatable tests can be performed for non-regression verification, allowing the testing of new software releases in fully automatic mode.