DSpace Angular :: Browsing by Author "Cipriano, Aldo"

Browsing by Author "Cipriano, Aldo"

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A framework for hybrid model predictive control in mineral processing
(2015) Karelovic, Pablo; Putz, Eduardo; Cipriano, Aldo
A fuzzy logic based model computes cardiac output from the radial arterial pressure waveform
(IEEE, 1994) Urzua Urzua, Jorge; Guarini Hermann, Marcelo Walter; Cipriano, Aldo; Matus Acuña, Marcelo Enrique; Lee, J.; Salinas, C.; Olmedo Hidalgo, Juan Carlos; Lema F., Guillermo; Canessa, Roberto
An interactive scheme for the development of a fuzzy logic based model has been implemented and applied to build a model that is able to determine cardiac output from radial arterial pressure. It was built using as input radial pressure waveforms from patients in whom cardiac output was simultaneously measured by thermodilution. The scheme was programmed in C language in an Apollo workstation under Unix. Input variables were area under the curve, ratio between systolic and diastolic pressure, and pulse frequency. To determine fuzzy sets and membership functions the authors used 149 pressure waveforms. To test the model, the authors used 6 waveforms not used in building the model. Correlation between predicted cardiac output with measured flow was 0.98.<>
A low-cost altitude control system for the Kadet Senior radio-controlled airplane
(2003) Abusleme Hoffman, Ángel Christian; Cipriano, Aldo; Guarini Hermann, Marcelo Walter
In automatic control education, real examples always improve students' learning and motivation. Considering this fact, a hardware-in-the-loop, low-cost altitude control system for a radio-controlled (RC) airplane has been developed to improve automatic control education. This system constitutes a high-impact demonstrator for teaching automatic control topics, applied to a real-life problem. The airplane has an altitude sensor; students can safely remotely control this variable in a computer real-time environment. This paper addresses the system analysis and description, controller design, and real demonstrations. This device was tested in a basic automatic control course for undergraduate electrical engineering students and received good results; students reacted with curiosity and enthusiasm and encouraged the lecturers to design more experiences like this one.
A model based fault detection and diagnosis system for rolling mill equipments
(IEEE, 2001) Orchard, M. C.; Cipriano, A. M.; Cipriano, Aldo; Viale, M.; Vigliocco, A.
In this paper, the implementation of a Model Based Fault Detection and Diagnosis System, that uses fuzzy logic to determinate the nature of the detected faults in rolling mill equipments is presented. The system is built with 4 components which work independently. An Identification module estimates the parameters of a continuous domain second order transfer function model for the process by analyzing the step response. A Predictive model module generates the controlled variable residual which is statistically analyzed in a Detection module. The results of the statistical analysis are fuzzified and processed in a Diagnosis module to determine detected fault's nature. The system is tested using real operation data of a main motor process in order to detect and classify abnormalities into Operation Point Change (OPC) or Process Fault (PF) alarms.
A model of internal control may improve the response time of an automatic arterial pressure controller
(IEEE, 2000) Urzua Urzua, Jorge; Sauma Santis, Enzo Enrique; Cipriano, Aldo; Guarini Hermann, Marcelo Walter
A simplified model for the arterial pressure control system was implemented on a personal computer using Matlab Simulink(R). Model responses to variations of systemic vascular resistance were comparable to those predicted by physiology. Computer simulation suggested that including this model of the internal pressure control system within the design of an external controller would achieve better arterial pressure control and faster response than previous systems.
A Model of Internal Control May Improve the Response Time of An Automatic Arterial Pressure Controller
(1999) Urzúa Urzúa, Jorge; Cipriano, Aldo; Guarini Hermann, Marcelo Walter; Zapata, Patricio
A simple index for ventriculoarterial coupling
(1993) Urzúa Urzúa, Jorge; Lema F., Guillermo; Guarini Hermann, Marcelo Walter; Cipriano, Aldo; Meneses Riquelme, Gladys Elena; Matus Acuña, Marcelo Enrique
An application of particle filter for FDI oriented change detection and bounded parameter estimation
(IEEE, 2007) Cofré Torres Patricio Esteban; Cipriano, Aldo
In their original formulations, state estimation schemes such as Kalman Filter, do not allow the incorporation of prior information on their physical bounds. This results in a certain probability of generating estimates that are physically impossible. Also, the Gaussian assumption in conventional schemes produces a trade-off between estimation error and estimation speed. This paper presents a solution based on a particle filter for which a bounded a priori parameter distribution is chosen. It is shown that a Beta distribution with hard bounds and adaptive estimation variance can overcome both drawbacks, thus achieving a lower fault detection time delay without increasing the estimation error, compared with the Extended Kalman Filter.
An event-driven simulator for multi-line metro systems and its application to Santiago de Chile metropolitan rail network
(ELSEVIER, 2011) Grube, Pablo; Nunez, Felipe; Cipriano, Aldo
Metros are the principal means of public transportation in many of the world s cities and continue to grow in the face of rising demand Expanding metro infrastructure is costly however and at a certain point becomes unsustainable When this occurs the only feasible solution is to Improve the train s management system by using either offline approaches such as pre-programming schedules which use historic information or online approaches which employ system status information obtained during operation A new planning or control system be it on or off line requires prior testing that usually involves conducting simulations This paper presents the design and implementation of an event-driven dynamic simulator for multi-line metro systems and its practical application for studying different operating strategies The simulator is based on object-oriented programming and is capable of interacting with Matlab programs written by the user to design and evaluate real-time control strategies This article describes the model upon which the simulator is based presents the user interface and demonstrates how to use the simulator for operating strategies evaluation in the Santiago de Chile multi-line metropolitan rail network (C) 2010 Elsevier BV All rights reserved
An Overview of Microgrids Challenges in the Mining Industry
(2020) Gómez, Juan S.; Rodriguez, Jose; Garcia, Cristian; Tarisciotti, Luca; Flores-Bahamonde, Freddy; Pereda Torres, Javier Eduardo; Nuñez Retamal, Felipe Eduardo; Cipriano, Aldo; Salas, Juan Carlos
The transition from fossil fuels to renewable energies as power sources in the heavy industries is one of the main climate change mitigation strategies. The carbon footprint in mining is related to its inherent extraction process, its high demand of electric power and water, and the use of diesel. However, considering its particular power requirements, the integration of microgrids throughout the whole control hierarchy of mining industry is an emergent topic. This paper provides an overview of the opportunities and challenges derived from the synergy between microgrids and the mining industry. Bidirectional and optimal power flow, as well as the integration of power quality have been identified as microgrid features that could potentially enhance mining processes. Recommendations pertaining to the technological transition and the improvement of energy issues in mining environments are also highlighted in this work.
Automated Detection of Fish Bones in Salmon Fillets Using X-ray Testing
(IEEE, 2010) Mery Quiroz, Domingo Arturo; Lillo Valles, Iván Alberto; Löbel Díaz, Hans-Albert; Riffo Bouffanais, Vladimir; Soto Arriaza, Álvaro; Cipriano, Aldo; Aguilera Radic, José Miguel
X-ray testing is playing an increasingly important role in food quality assurance. In the production of fish fillets, however, fish bone detection is performed by human operators using their sense of touch and vision which can lead to misclassification. In countries where fish is often consumed, fish bones are some of the most frequently ingested foreign bodies encountered in foods. Effective detection of fish bones in the quality control process would help avoid this problem. For this reason, we developed an X-ray machine vision approach to automatically detect fish bones in fish fillets. This paper describes our approach and the corresponding validation experiments with salmon fillets. The approach consists of six steps: 1) A digital X-ray image is taken of the fish fillet being tested. 2) The X-ray image is filtered and enhanced to facilitate the detection of fish bones. 3) Potential fish bones in the image are segmented using band pass filtering, thresholding and morphological techniques. 4) Intensity features of the enhanced X-ray image are extracted from small detection windows that are defined in those regions where potential fish bones were segmented. 5) A classifier is used to discriminate between 'bones' and 'no-bones' classes in the detection windows. 6) Finally, fish bones in the X-ray image are isolated using morphological operations applied on the corresponding segments classified as 'bones'. In the experiments we used a high resolution flat panel detector with the capacity to capture up to a 6 million pixel digital X-ray image. In the training phase, we analyzed 20 representative salmon fillets, 7700 detection windows (10Ã—10 pixels) and 279 intensity features. Cross validation yielded a detection performance of 95% using a support vector machine classifier with only 24 selected features. We believe that the proposed approach opens new possibilities in the field of automated visual inspection of salmon and other similar fish.
Automated fish bone detection using X-ray imaging
(ELSEVIER SCI LTD, 2011) Mery, Domingo; Lillo, Ivan; Loebel, Hans; Riffo, Vladimir; Soto, Alvaro; Cipriano, Aldo; Miguel Aguilera, Jose
In countries where fish is often consumed, fish bones are some of the most frequently ingested foreign bodies encountered in foods. In the production of fish fillets, fish bone detection is performed by human inspection using their sense of touch and vision which can lead to misclassification. Effective detection of fish bones in the quality control process would help avoid this problem. For this reason, an X-ray machine vision approach to automatically detect fish bones in fish fillets was developed. This paper describes our approach and the corresponding experiments with salmon and trout fillets. In the experiments, salmon X-ray images using 10 x 10 pixels detection windows and 24 intensity features (selected from 279 features) were analyzed. The methodology was validated using representative fish bones and trouts provided by a salmon industry and yielded a detection performance of 99%. We believe that the proposed approach opens new possibilities in the field of automated visual inspection of salmon, trout and other similar fish. (C) 2011 Elsevier Ltd. All rights reserved.
Automatización inteligente para procesamiento de salmones empleando visión digital (Salmón Sol) (Chile, concesión nº 49022)
Cipriano, Aldo; Aguilera, José Miguel; Mery Quiroz, Domingo; Soto Aguilera, Álvaro
Bus-Stop Control Strategies Based on Fuzzy Rules for the Operation of a Public Transport System
(IEEE, 2012) Milla, Freddy; Sáez, Doris; Cortes, Cristián E.; Cipriano, Aldo
In the daily operation of a bus system, the movement of vehicles is affected by uncertain conditions as the day progresses, such as traffic congestion, unexpected delays, randomness in passenger demand, irregular vehicle dispatching times, and incidents. In a real-time setting, researchers have devoted significant effort to developing flexible control strategies, depending on the specific features of public transport systems. In this paper, we propose a control scheme for the operation of a bus system running along a linear corridor, based on expert rules and fuzzy logic. The parameters of the fuzzy controllers were tuned through a particle swarm optimization (PSO) algorithm. That is, the control strategies aim at keeping regular headways between consecutive buses, with the objective of reducing the total waiting time of passengers. The proposed control systems rely on measures of the position of each bus, which are easy to obtain and implement by means of emerging automatic vehicle location devices through Global Positioning System (GPS) technology. The utilized strategies are holding, stop-skipping, and the integration of both. After tuning the controller parameters, we conducted several simulation tests, obtaining promising results in terms of savings in waiting times with the implementation of the proposed rules, noting that the best performance occurred when fuzzy rules are included. The methodology has great impact, and it is easy to implement due to its simplicity.
Comparing dynamic evacuation control strategies for emergency situations
(IEEE, 2015) Pacheco, C.; Karelovic, P.; Cipriano, Aldo
A comparative study of dynamic evacuation control strategies for emergency situations such as fires or earthquakes is presented. Due to the changing nature of emergency situations, there is a clear need for generating dynamic evacuation plans that consider ongoing situations like hazardous areas or amount and location of evacuees. In this paper we show how automatic control can contribute to address this problem, therefore we compare open loop and closed loop strategies, and decentralized, distributed and centralized approaches. Evacuation performance is measured through the total evacuation time in a one story building with three exits, considering different levels of hazard and congestion. Results show that real time measurements of hazard and congestion incorporate valuable information to the control system, and also that distributed control strategies seem to be more suitable for addressing the problem due to their low computational cost and good performance.
Comparison of dynamic control strategies for transit operations
(2013) Muñoz Abogabir, Juan Carlos; Cortés, Cristián E.; Giesen Encina, Ricardo; Sáez, Doris; Delgado Breinbauer, Felipe Alberto; Valencia, Francisco; Cipriano, Aldo
Constrained generalized predictive control using relaxation with quadratic penalization
(IEEE, 2001) Muñoz Infante, Carlos Alberto; Cipriano, Aldo
In this paper an iterative algorithm will be derived to find a numerical solution for the generalized predictive control of linear systems with constraints on controlled and manipulated variables. The algorithm uses the relaxation method with quadratic penalization. Conditions are proposed for the convergence of the iterative solution and results of the application to a second order linear system are presented.
Control difuso con estimador de estados para sistemas de páncreas artificial
(2016) González González, Rodrigo; Cipriano, Aldo
Control predictivo híbrido basado en sensores visuales : teoría y aplicación a flotación de minerales
(2008) Núñez Retamal, Felipe Eduardo; Cipriano, Aldo; Pontificia Universidad Católica de Chile. Escuela de Ingeniería
En el último tiempo el control basado en modelos ha cobrado gran popularidad debido a la posibilidad de controlar eficientemente diversos procesos. Sin embargo, existe una complicación extra en la obtención de los modelos involucrados. Por otra parte existen procesos en donde la apariencia representa una importante fuente de información acerca del desempeño del mismo. Es por esto que se hace preponderante contar con técnicas que permitan incorporar información visual al modelo del proceso. En este trabajo se estudian métodos de modelación de procesos visuales y se propone un esquema de control predictivo híbrido que incorpora la información visual en la forma de estados de operación discreto.
Control predictivo híbrido para flotación de minerales.
(2014) Putz de la Fuente, Eduardo Ignacio; Cipriano, Aldo; Pontificia Universidad Católica de Chile. Escuela de Ingeniería
La minería es el sector de mayor actividad en la economía nacional, posicionando a Chile como el mayor productor y exportador de cobre a nivel mundial. Sin embargo, aún existen grandes desafíos que buscan mitigar el aumento en los costos de la energía y la disminución de las leyes de mineral, así como la promoción de nuevas tecnologías. Bajo este contexto, las tecnologías de automatización se presentan como una alternativa viable y necesaria para aumentar la productividad y confiabilidad de los procesos que forman parte de este negocio. Por otra parte, el interés en desarrollar estrategias de control para procesos de gran escala ha llevado a formular nuevas metodologías que consideren el comportamiento global de un proceso industrial, facilitando el diseño, validación y evaluación de estrategias de control avanzado de mayor complejidad. Una de estas metodologías es el control predictivo híbrido, el cual utiliza un modelo dinámico del proceso caracterizado por variables continuas, discretas y reglas lógicas. En este trabajo se formula una estrategia de control predictivo híbrido para una planta de flotación de minerales, válida para una línea compuesta por celdas y bancos bajo diferentes modos de operación. Para cumplir este objetivo, primero se desarrolla un simulador dinámico híbrido fenomenológico de una línea de flotación, el cual es calibrado mediante datos pertenecientes a una planta industrial. Posteriormente, se formula una metodología de identificación de modelos híbridos global, a partir de datos entrada-salida generados desde el simulador, obteniendo modelos lineales bajo una estructura PWARX, para ser utilizados como modelos de predicción en la estrategia de control. Finalmente, se comprueba que el controlador predictivo híbrido diseñado permite mantener la ley de mineral del flujo de cola de una línea de flotación en un valor de referencia, variando sus modelos de predicción de acuerdo a la condición de operación en la cual se encuentre el proceso.

Browsing by Author "Cipriano, Aldo"

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