1,721,242 research outputs found
ACD 2010 8th European Workshop on Advanced Control and Diagnosis 18-19 November 2010, Ferrara, Italy http://www.acd2010.it/
No full textACD 2010 back to home
8th European Workshop on Advanced Control and Diagnosis
The Workshop will bring together academics and engineers in control engineering and compter science.
The aim of the workshop is:
- to present current research developments
- to present practical applications or open problems
- to provide opportunity for industry to hint at its needs and priorities
The 8th European Workshop on Advanced Control and Diagnosis will highligth some recent results in the development of methods and tools and also some prototypes that are of particular interest for academics and engineers. New theoretical results as weel as practical applications or industrial experiences are welcome.
Two types of papers are considered: regular papers that report novel and significant contributions to the fields concerned by the workshop; work in progress papers that present recent ideas and on-going works. Another objective of the workshop is to favour cross-cultural exchanges, to facilitate cooperation between the partners, to promote students and teachers exchanges and co-supervised doctorates.
Main topics include, but are not restricetd to:
Advanced informatics and control
Automotive control
Aerospace control
Adaptive control
Predictive control
Robust control
Process Control
Computational intelligence
Support for systems operation and decision making
Computational intelligence in fault diagnosis
Fault detection and isolation
Fault tolerant control
Intelligent distributed discrete events systems
Intelligent methods for system identification and control
Design for reliability and safety
Networked controlled systems
Pattern recognition
Reliability and maintenance
Maintenance and repair strategies
Signal and image processing
System identification
Vision and robotics
With applications to:
Distributed systems
Industrial processes
Integration prototype
Intelligent sensors and actuators
Transportation system
Model-Based Fault Diagnosis for Dynamic Processes Using Identification Techniques
No full textSafety in industrial process and production plants is a concern of rising importance, especially if people would
be endangered by a catastrophic system failure. On the other hand, because the control devices, which are now exploited
to improve the overall performance of industrial processes, include both sophisticated digital system design techniques and
complex hardware (input–output sensors, actuators, components and processing units), there is an increased probability of
failure. As a direct consequence of this, control systems must include automatic supervision of closed-loop operation to
detect and isolate malfunctions as early as possible. One of the most promising methods for solving this problem is the
”analytical redundancy” approach, in which residual signals are obtained. The basic idea consists of using an accurate
model of the system to mimic the real process behaviour. If a fault occurs, the residual signal, i.e., the difference between
real system and model behaviours, can be used to diagnose and isolate the malfunction. This paper is focussed on model
identification oriented to the analytical approach of fault diagnosis and identification. The problem is treated in all its aspects
covering the choice of model structure, the parameter identification methods, the residual generation techniques, and the
fault diagnosis and isolation strategies. A sample case study will be described in order to demonstrate the application of
these comprehensive identification and fault diagnosis techniques
“SUSTAINABLE” CONTROL OF OFFSHORE WIND TURBINES
No full textThe motivation for this issue comes from a real need to have an open discussion about the challenges of control for very demanding systems, such as wind turbine installations, requiring the so-called “sustainability” features. It represents the characteristic to tolerate possible malfunctions affecting the system and, at the same time, the capability to continue working while maintaining power conversion efficiency. Sustainable control has begun to stimulate research and development in a wide range of industrial communities particularly for those systems demanding a high degree of reliability and availability. The system should be able to maintain specified operable and committable conditions, and at the same time should avoid expensive maintenance works. For offshore wind farms a clear conflict exists between ensuring a high degree of availability and reducing costly maintenance
Software toolbox for Linear and nonlinear system identification
No full textThe project is concerned with problems in identification of linear and nonlinear systems. Special emphasis is given to the case of multi-input single-output (MISO)
and multi-input multi-output (MIMO) systems. The latter case shows even in the linear case considerable more complexity when compared to the single-input single-output (SISO) case. It should be noted that identification of linear systems is a highly nonlinear task; the results obtained for the linear case also have a pivotal character for identification of nonlinear systems. The problems considered range from structure theory (realization and parametrization) to estimation algorithms (including their evaluation). The main topics of this project, implemented in the software developed here, are:
Parametrization: The property of parametrizations, for linear systems, in particular of the so called balanced realizations, is described.
Subspace-methods: For 'large' MIMO systems the standard identification procedures, like Maximum likelihood methods and Prediction error methods, have high numerical complexity. The so called subspace methods (SSM) are numerically faster, however their statistical properties have not been fully investigated yet.
Algorithms for dynamic errors-in-variables models: here algorithms for the estimation of the set of all observationally equivalent systems were developed. In addition a test, whether this equivalence class contains a causal system, are constructed. The statistical properties of these algorithms are also evaluated.
Regularization and complexity: A second approach, to overcome the numerical problems in identification of MIMO systems, relies on regularization methods. The statistical properties of such methods are exploited. These regularization methods seem to be promising also for the identification of nonlinear models (e.g. neural networks). The results for the linear case are generalized to certain classes of nonlinear systems
Identification and Fault Diagnosis of a Simulated Model of an Industrial Gas Turbine
No full textIn this study, a model-based procedure exploiting analytical
redundancy for the detection and isolation of faults of a
gas turbine system is presented. The diagnosis scheme is based on
the generation of so-called “residuals” that are errors between estimated
and measured variables of the process. The work is completed
under both noise-free and noisy conditions. Residual analysis
and statistical tests are used for fault detection and isolation,
respectively. The final section shows how the actual size of each
fault can be estimated using a multilayer perceptron neural network
used as a nonlinear function approximator. The proposed
fault detection and isolation tool has been tested on a single-shaft
industrial gas turbine model
Data-Driven and Adaptive Automatic Approaches for Wind Turbine Fault Diagnosis
No full textSoftware premiato col terzo posto alla competizione internazionale sullo sviluppo delle migliori soluzioni software per la diagnosi dei guasti di turbine eoliche proposta dall’azienda danese kk-electronic e la MathWorks Inc. (USA). La premiazione ha avuto luogo durante il convegno modiale IFAC (Milano, 28 agosto – 2 settembre 2011) e la soluzione tecnica è descritta negli articoli:
o S. Simani, P. Castaldi, and A. Tilli, “Data–Driven Approach for Wind Turbine Actuator and Sensor Fault Detection and Isolation,” in Proceedings of the 18th IFAC World Congress (S. Bittanti, A. Cenedese, and S. Zampieri, eds.), vol. 18, (Università Cattolica del Sacro Cuore, Milan, Italy), pp. 8301–8306, International Federation of Automatic Control (IFAC), IFAC–PapersOnLine, August 28 – September 2, 2011. Special Session Invited Paper. DOI: 10.3182/20110828– 6–IT–1002.00447.
o S. Simani, P. Castaldi, and M. Bonfè, “Hybrid Model–Based Fault Detection of Wind Turbine sensors,” in Proceedings of the 18th IFAC World Congress (S. Bittanti, A. Cenedese, and S. Zampieri, eds.), vol. 18, (Università Cattolica del Sacro Cuore, Milan, Italy), pp. 7061–7066, International Federation of Automatic Control (IFAC), IFAC–PapersOnLine, August 28 – September 2, 2011. Special Session Invited Paper. DOI: 10.3182/20110828–6–IT–1002.01311
Membro onorario del Comitato Scientifico del CESSME - Centro Studi per la Smart Economy
No full textPromuovere la cultura dello sviluppo sostenibile secondo i paradigmi della cosiddetta Smart Economy, presso le Pubbliche Amministrazioni, le Aziende e l’Opinione Pubblica. anche attraverso la realizzazione di studi, seminari, convegni, programmi di comunicazione, manifestazioni e iniziative per la diffusione della conoscenza dei principi della Smart Economy Sensibilizzare le istituzioni, le imprese e l’opinione pubblica sui principi della Smart Economy, anche attraverso la promozione, il coordinamento e l’organizzazione di iniziative culturali, rassegne ed eventi.
Molti amministratori pubblici hanno idee innovative e risorse per realizzare infrastrutture e servizi ai cittadini con lo scopo di migliorare la qualità della vita nelle proprie città.
Molte aziende hanno prodotti e soluzioni in grado di proporre nuove tecnologie per migliorare l'efficienza e l'efficacia dei servizi pubblici fornendo valore aggiunto alle attività di pubblica utilità.
Noi di CESSME abbiamo il compito di mettere in contatto/ collegamento queste due entità IMPRESE - P.A. allo scopo di attivare progetti virtuosi di reciproca soddisfazione
Data-Driven and Adaptive Schemes for Wind Turbine Fault Tolerant Control Design
No full textSoftware premiato col terzo posto alla competizione internazionale sulle migliori soluzioni software per i controllo tollerante ai guasti di turbine eoliche proposta dall’azienda danese kk-electronic e la MathWorks Inc. (USA). La premiazione ha avuto luogo durante il convegno triennale IFAC SafeProcess (Città del Messico, Messico, 29 – 31 agosto 2012)
Indagine sperimentale per la definizione di procedure software di taratura automatica dei parametri dei regolatori PID utilizzati in banchi prova motore statici e dinamici
No full textIndagine sperimentale per la definizione di procedure software di taratura automatica dei parametri dei regolatori PID utilizzati in banchi prova motore statici e dinamici
Dettaglio attività sperimentale:
- acquisizione e prefiltraggio dati
- verifica preliminare di fattibilità della metodologia proposta
- campagna prove ai banchi con cicli standard
- simulazione con software Matlab e studio di metodologie automatiche per la determinazione dei parametri di regolatori standard PID
- impiego di librerie software Matlab e Simulink per la taratura automatica dei parametri di PID (PIDtune e STCLS)
- verifica sperimentale dei risultati ottenuti
L’attività di analisi sperimentale proposta sarà della durata approssimativa di 3 anni e presuppone l’impiego di personale pagato con borse di ricerca presso il Dipartimento di Ingegneria di Ferrara che effettuerà l’interfaccia tra Dipartimento di Ingegneria di Ferrara, l’acquisizione dati e la verifica delle metodologie proposte. Il personale impiegato è seguito ed affiancato dal gruppo di Automazione Dipartimento di Ingegneria di Ferrara, e in particolare dal responsabile scientifico del progetto, Dott. Silvio Simani. L’attività sarà mirata allo studio di fattibilità e alla determinazione delle procedure software più efficaci ed efficienti per la risoluzione del problema, a partire dai dati acquisiti ai banchi, senza la necessità di sviluppare una modellistica ad-hoc dei banchi prova stessi
- …
