There is an increasing demand for dynamic systems to become safer and more reliable This requirement extends beyond the normally accepted safety-critical systems such as nuclear reactors and aircraft, where safety is of paramount importance, to systems such as autonomous vehicles and process control systems where the system availability is vital It is clear that fault diagnosis is becoming an important subject in modern control theory and practice Robust Model-Based Fault Diagnosis for Dynamic Systems presents the subject of model-based fault diagnosis in a unified framework It contains many important topics and methods; however, total coverage and completeness is not the primary concern The book focuses on fundamental issues such as basic definitions, residual generation methods and the importance of robustness in model-based fault diagnosis approaches In this book, fault diagnosis concepts and methods are illustrated by either simple academic examples or practical applications The first two chapters are of tutorial value and provide a starting point for newcomers to this field The rest of the book presents the state of the art in model-based fault diagnosis by discussing many important robust approaches and their applications This will certainly appeal to experts in this field Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research The book is useful for both researchers in academia and professional engineers in industry because both theory and applications are discussed Although this is a research monograph, it will be an important text for postgraduate research students world-wide The largest market, however, will be academics, libraries and practicing engineers and scientists throughout the world

Robust Model-Based Fault Diagnosis for Dynamic Systems

An observer for nonlinear systems is constructed under rather general technical assumptions (the fact that some functions are globally Lipschitz). This observer works either for autonomous systems or for nonlinear systems that are observable for any input. A tentative application to biological systems is described. >

A simple observer for nonlinear systems applications to bioreactors

Thermophysical Properties Research Literature Retrieval Guide Edited by Y. S. Touloukian, J. K. Gerritsen and N. Y. Moore Second edition, revised and expanded. Book 1: Pp. xxi + 819. Book 2: Pp.621. Book 3: Pp. ix + 1315. (New York: Plenum Press, 1967.) n.p.

/pdf/heat-and-mass-transfer-1yaijfx8vp.pdf

Heat and Mass Transfer

This paper provides a survey of modern nonlinear filtering methods for attitude estimation. Early applications relied mostly on the extended Kalman filter for attitude estimation. Since these applications, several new approaches have been developed that have proven to be superior to the extended Kalman filter. Several of these approaches maintain the basic structure of the extended Kalman filter, but employ various modifications in order to provide better convergence or improve other performance characteristics. Examples of such approaches include: filter QUEST, extended QUEST and the backwards-smoothing extended Kalman filter. Filters that propagate and update a discrete set of sigma points rather than using linearized equations for the mean and covariance are also reviewed. A twostep approach is discussed with a first-step state that linearizes the measurement model and an iterative second step to recover the desired attitude states. These approaches are all based on the Gaussian assumption that the probability density function is adequately specified by its mean and covariance. Other approaches that do not require this assumption are reviewed, Associate Professor, Department of Mechanical & Aerospace Engineering. Email: johnc@eng.buffalo.edu. Associate Fellow AIAA. Aerospace Engineer, Guidance, Navigation and Control Systems Engineering Branch. Email: Landis.Markley@nasa.gov. Fellow AIAA. Postdoctoral Research Fellow, Department of Mechanical & Aerospace Engineering. Email: cheng3@eng.buffalo.edu. Member AIAA.

/pdf/survey-of-nonlinear-attitude-estimation-methods-4tcu9nk5p8.pdf

Survey of nonlinear attitude estimation methods

We present a differential geometric approach to the problem of fault detection and isolation for nonlinear systems. A necessary condition for the problem to be solvable is derived in terms of an unobservability distribution, which is computable by means of suitable algorithms. The existence and regularity of such a distribution implies the existence of changes of coordinates in the state and in the output space which induce an "observable" quotient subsystem unaffected by all fault signals but one. For this subsystem, a fault detection filter is designed.

A geometric approach to nonlinear fault detection and isolation

The paper presents the development of a test bench for the investigation of faults in a power drive Firstly, the presentation is made for different components in an induction machine drive Secondly, since the machine parameters are controlled by PWM signals via IGBT converter, a PWM generator is built in order to control the machine and create different types of faults related to the drive of the converter Subsequently, simulation and experiment are carried out for two typical faults of the converter: intermittent gate-misfiring fault and open-circuit fault Finally, since the machine speed is usually required for the calculation of characteristic frequencies of most faults in the induction machine, it is estimated on the basis of the slot frequency component in the spectral of stator current and total input power The obtained results are the evidence to show that the test bench is appropriately usable for the investigation of not only the normal operation but efficiently for the fault exploration

Design of power drive dedicated to the investigation of faults

Fault Detection for a Class of Discrete-Time Nonlinear Systems

In this study, we have developed a method of diagnosis based on high gain observers, for detecting faults of the actuators in a semi continuous chemical reactor. This algorithm has the advantage of detecting multiple faults simultaneously. The observer is constructed from a sub-model, one needs two observers which related to the number of actuator. The signals used in our study derived from a real system. This diagnostic strategy has two levels, to detect and identify defects actuators, feed rate and the warming system in order to improve the reaction rate.

Actuator fault detection identification and isolation via high-gain observer for an olive oil waste esterification in a Semi Continuous Stirred Tank Reactor

The mathematical model of an aerobic culture of recombinant yeast presented in work by Zhang et al. (1997) is given by a differential-algebraic system. The classical nonlinear observer algorithms are generally based on ordinary differential equations. In this paper, first we extend the nonlinear observer synthesis to differential-algebraic dynamical systems. Next, we apply this observer theory to the mathematical model proposed in Zhang et al. (1997). More precisely, based on the total cell concentration and the recombinant protein concentration, the observer gives the online estimation of the glucose, the ethanol, the plasmid-bearing cell concentration and a parameter that represents the probability of plasmid loss of plasmid-bearing cells. Numerical simulations are given to show the good performances of the designed observer.

Observer design for differential-algebraic model of an aerobic culture of a recombinant yeast.

Observateur continu-discret pour une classe de systemes uniformement observables Hassan Hammouri, Madiha Nadri et Rafael Mota Laboratoire d’Automatique et de Genie des Procedes LAGEP, CNRS UMR 5007, Universite Claude Bernard Lyon I, ESCPE - Lyon, B ˆat 308 G, 43 Bd du 11 Novembre 1918, 69622 Villeurbanne cedex, France nadri@lagepuniv-lyon1fr Abstract— Dans la plupart des procedes physiques et en particulier en genie des procedes, les mesures en ligne sont souvent obtenues en temps-discret Un observateur continu- discret consiste a combiner un modele dynamique temps- continu avec des mesures temps-discret aﬁn d’estimer en ligne l’etat non mesure du procede En utilisant les techniques du ﬁltre de Kalman etendu continu- discret (voir par exemple [5]), les auteurs dans [2] ont donne un observateur a grand gain dont le gain derive d’une equation de Riccati continu-discret Ici nous montrons sous les memes hypotheses qu’un observateur grand gain dont le gain est constant peut etre concu pour la meme classe de systemes continu-discret mots cles :Systemes non lineaires, observateur continu-discret, forme canonique d’observabilit�

Hassan Hammouri

Papers

Design of power drive dedicated to the investigation of faults

Fault Detection for a Class of Discrete-Time Nonlinear Systems

Actuator fault detection identification and isolation via high-gain observer for an olive oil waste esterification in a Semi Continuous Stirred Tank Reactor

Observer design for differential-algebraic model of an aerobic culture of a recombinant yeast.

Observateur continu-discret pour une classe de systèmes uniformément observables