1,721,091 research outputs found
Preface
No full textThis book, published in two volumes, embodies the proceedings of the 15th European Workshop on Advanced Control and Diagnosis (ACD 2019) held in Bologna, Italy, in November 2019. It features contributed and invited papers from academics and professionals specializing in an important aspect of control and automation. The book discusses current theoretical research developments and open problems and illustrates practical applications and industrial priorities. With a focus on both theory and applications, it spans a wide variety of up-to-date topics in the field of systems and control, including robust control, adaptive control, fault-tolerant control, control reconfiguration, and model-based diagnosis of linear, nonlinear and hybrid systems. As the subject coverage has expanded to include cyber-physical production systems, industrial internet of things and sustainability issues, some contributions are of an interdisciplinary nature, involving ICT disciplines and environmental sciences.
This book is a valuable reference for both academics and professionals in the area of systems and control, with a focus on advanced control, automation, fault diagnosis and condition monitoring
Residual generator design for linear dynamic system fault detection
No full textThis paper investigates few minor new results regarding the computation of residual generator functions in order to realise for example complete diagnosis schemes in linear multivariable systems with additive faults and disturbances. The use of canonical input-output polynomial forms leads to characterise in a straightforward fashion the basis of the subspace described by all the possible residual generators. These tools show how the mathematical description of these filters can be obtained also by following a black-box identification approach
Estimation of the Power Coefficient Map for a Wind Turbine Simulated Benchmark
No full textSince the energy generation capacity of installed wind turbine is increasing, the interest in optimising the efficiency of these wind turbines is growing, as well. The optimal operating points for the power and speed control of the turbines depends on a mapping to the power conversion ratio from tip speed ratio and blade pitch angles. This mapping usually
is not known in analytical form, but in general represented by approximated two–dimensional
maps (i.e. look–up tables). Another issue can derive from the accuracy of the map itself. It
might be correct but uncertain. The main problem of the methods available in the literature is
that the power conversion ratio is represented as two–dimensional map. Therefore, this paper
suggests a scheme to estimate this power conversion ratio in an analytical form, described
as two–dimensional polynomial, whose degree has to be optimised as well. This estimated
analytical relation can subsequently be used to design optimal controller, as well as for robust fault diagnosis applications
Residual function design for linear multivariable systems
No full textClassical model–based fault detection schemes for linear multivariable systems require the definition of suitable residual functions. This paper shows the possibility of identifying residual generators even when the system model is unknown, by following a black–boxapproac h. The result is obtained by using canonical input–output polynomial forms which lead to characterise in a straightforward fashion the basis of the subspace described by all possible residual generators. The performance of the proposed identification method is tested by means of a Monte Carlo simulation
Active Fault Tolerant Control Scheme for a General Aviation Aircraft Model
No full textThis paper addresses the development of a novel active
fault tolerant control scheme. The methodology is based on a
fault detection and diagnosis procedure relying on adaptive filters
designed via the nonlinear geometric approach. The controller
reconfiguration exploits a further control loop, depending on the
on-line estimate of the fault signal. One of the advantages of this
strategy is that, for example, a structure of logic–based switching
controller is not required. The active fault tolerant control scheme
is therefore applied to a PA–30 aircraft simulator in several
flight conditions, in the presence of actuator faults, turbulence,
measurement noise, and modelling errors. The achieved results
in faulty conditions show the enhancement of the flying quality,
the asymptotic fault accommodation, and the control objective
recovery
Neural networks for fault diagnosis and identification of industrial processes
No full textIn this work a model--based procedure exploiting analytical redundancy via state estimation techniques for the diagnosis of faults regarding sensors of a dynamic system is presented. Fault detection is based on Kalman filters designed in stochastic environment. Fault identification is therefore performed by means of different neural network architectures. In particular, neural networks are used as function approximators for estimating sensor fault sizes. The proposed fault diagnosis and identification tool is tested on a industrial gas turbine
10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes : SAFEPROCESS 2018 : Warsaw, Poland, 29–31 August 2018 : PROCEEDINGS
No full textBudapest (Hungary, 2000),
Washington DC (USA,
2003), Beijing (China, 2006),
Barcelona (Spain, 2009),
Mexico City (Mexico, 2012),
and Paris (France, 2015).
The continuous increase
in the complexity of modern
industrial systems and
objects as well as growing
reliability demands regarding
their operation and control
quality are serious
challenges for further
development of the theory
and practice of control and
technical diagnostics. Early
detection of faults is critical
in avoiding performance
degradation and damage to
machinery or human life.
The SAFEPROCESS
symposium is a triennial
meeting of IFAC and a major
international gathering of
leading experts in the
academia and industry from
all over the world. It aims at
strengthening the contact
between the academia and
industry to build up new
networks and cultivate
existing relations. High-level
speakers have gave talks on
a wide spectrum of topics
related to fault diagnosis,
process supervision, safety
monitoring and fault-tolerant
control, as well as state-ofthe-
art applications and
emerging research
directions. The symposium
has been also a forum for
young researchers, with the
opportunity to present their
scientific ambitions and work
to an audience of
international communities of
technical diagnostics and
control.
Fault diagnosis and
fault-tolerant control have
developed into a major
research area at the
intersection of system and
control engineering, applied
mathematics and statistics or
soft computing, as well
as application fields such
as mechanical, electrical,
chemical and aerospace
engineering. IFAC is
recognized as playing a
crucial role in this aspect
by launching a triennial
symposium dedicated to
this subject.
The program of
SAFEPROCESS 2018
included 25 regular and
13 invited sessions in 5
parallel tracks. It also
contained 3 plenary and
6 semi-plenary talks
prepared by outstanding
academic and industrial
experts. We hope that
those presentations gave
the participants the
opportunity to share in
the knowledge and
experience of worldrenowned
scientists and
experts in many exciting
topics such as distributed
fault diagnosis,
integration of diagnosis
and fault tolerant control,
model-based fault
diagnosis of wind
turbines, model-free
approaches to faulttolerant
control, robust
fault detection using setmembership
approaches,
as well as fault diagnosis
needs and challenges in
civil aircrafts
Identification of residual generators for fault detection of linear dynamic models
No full textClassical model-based fault detection schemes for linear multivariable systems require the definition of suitable residual functions. This paper shows the possibility of identifying residual generators even when the system model is unknown, by following a black-box approach. The result is obtained by using canonical input-output polynomial forms which lead to characterise in a straightforward fashion the basis of the subspace described by all possible residual generators. The performance of the proposed identification method is tested by means of Monte Carlo simulations
Fault Diagnosis for Aircraft System Models
No full textSafety in aircraft systems is a concern of rising importance, especially due to the sophisticated control devices exploited to improve the
overall system performance, including both digital designs and complex hardware (input-output sensors, actuators, and components). Thus,
control systems must include automatic supervision tasks to diagnose incipient malfunctions, as early as possible. This book focuses on the
design of robust linear and nonlinear dynamic filters, obtained via model-based and analytical approaches for fault diagnosis and
identification. The problem is treated in all its aspects covering: nonlinear modelling of aircraft systems; design of disturbance decoupled
dynamic filters for residual generation; fault detection and estimation, fault tolerant control. Sample case studies are used to demonstrate the
application of these techniques to high fidelity flight simulators. This book will be of interest to researchers in aircraft fault tolerant control, fault
detection and diagnosis. Aircraft control engineers interested in applying the latest methods in fault detection and diagnosis will benefit from
the simulation examples
Approximation of Non--Linear System with Identified Hybrid Models
No full textThis paper addresses the identification of non-lineardynamic systems. A wide class of these systems canbe described using non-linear time-invariantregression models, that can be approximated by means of piecewise affine prototypes with an arbitrary degree of accuracy. This workconcerns the identification of piecewise affine model structure through input-output data acquired from a dynamic process. In order to show the effectiveness of the developed technique, the results obtained in the identification of both a simple simulated system and a real dynamic process are reporte
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