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A family of sliding-mode control designs incorporating control allocation, which can deal with actuator failures directly by exploiting redundancy, is presented. Various realistic case studies, specifically highlighting aircraft systems and including results from the implementation of these designs on a motion flight simulator, are described.

A reference and guide for researchers in fault detection and fault-tolerant control, this book will also be of interest to graduate students working with nonlinear systems and with sliding modes in particular.


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Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. Product details Format Paperback pages Dimensions x x Other books in this series.

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Add to basket. Unmanned Rotorcraft Systems Guowei Cai. Windup in Control Peter Hippe. Spacecraft Navigation and Guidance Maxwell Noton. Snake Robots Pal Liljeback. Back cover copy Fault Detection and Fault-tolerant Control Using Sliding Modes is the first text dedicated to showing the latest developments in the use of sliding mode concepts for fault detection and isolation FDI and fault-tolerant control in dynamical engineering systems.

This is followed by chapters that describe the use and design of sliding mode observers for FDI based on robust fault reconstruction. The development of a class of sliding mode observers is described from first principles through to the latest schemes that circumvent minimum-phase and relative-degree conditions. Recent developments have shown that the field of fault tolerant control is a natural application of the well-known robustness properties of sliding mode control.

A family of sliding mode control designs incorporating control allocation, which can deal with actuator failures directly by exploiting redundancy, is presented. Table of contents Introduction. Model-reference Sliding-mode FTC. Review Text From the reviews: "This book is devoted to a comprehensive treatment of sliding mode control methods applied to fault detection and fault tolerant control. This monograph is a substantial and impressive contribution to sliding mode control applications, blending rigorous theoretical developments with effective applications to aircraft control problems under critical conditions.

Review quote From the reviews: "This book is devoted to a comprehensive treatment of sliding mode control methods applied to fault detection and fault tolerant control. About Halim Alwi Dr. Halim Alwi graduated in with a first class B. Hons degree in Mechanical Engineering from Leicester University and was awarded the JN Frears Prize for outstanding performance by a mechanical engineering student. At the end of , he returned to the University of Leicester as a postgraduate student funded by the Engineering and Physical Sciences Research Council and an Overseas Research scholarship.

He obtained his Ph. He is the author of 17 refereed papers including 4 journal papers and 2 chapter contributions to edited monographs. His research interests include sliding-mode control systems, fault detection and isolation and fault-tolerant control. Christopher Edwards graduated from Warwick University in with first class honours in Mathematics. Between and 91 he was employed by British Steel Technical Division as a Research Officer, responsible for developing mathematical models of industrial processes. He is the author of over refereed papers including 75 journal papers and 9 chapter contributions to edited monographs.

Chee Pin Tan graduated from Leicester University in with first class honours in Electrical and Electronic Engineering, top of his class. He then undertook a Ph. In the same year, he was appointed as Lecturer in the School of Engineering, Monash University Sunway campus Malaysia, and subsequently promoted to Senior Lecturer in He is the author of over 40 refereed papers including 14 journal papers and 3 chapter contributions to edited monographs.

The performance of the fault detection scheme is analyzed with respect to the fault detectability of incipient sensor faults, which depends on the dynamic behavior of the residual and the adaptive threshold generator. The proposed performance index is based on the distance between two limit sets that are guaranteed to include the residual under fault-free and faulty conditions. The novelty of this distance metric stems from the parametrization of the limit sets in relation to i the design parameters of both the residual generator and adaptive threshold, ii the bounds on the system disturbances and measurement noise, and iii the fault function and evolution rate.

An optimization problem is formulated for finding the design parameters of the fault detection scheme such that the set of guaranteed strongly detectable faults is maximized, where this set is defined based on the distance between the separated fault-free and faulty limit set. Center Keywords: FDI for nonlinear Systems , Reconfigurable control, sensor and actuator faults , FDI for robust nonlinear systems Abstract: A fault identification and estimation approach that brings together the differential geometric concept of observability codistribution with data-driven concurrent learning, is presented in this paper.

In order to identify faults in the presence of unknown disturbances, we use the differential geometric approach to design a coordinate transformation, in order to find a subspace in which the effects of disturbances and system faults can be segregated.


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We then use concurrent learning to estimate the magnitude of the constant fault. We illustrate the approach to fault isolation for a spherical pendulum dynamics.

Richard Poisson: Fault Detection and Isolation in Aerospace Applications

We use Lyapunov stability analysis to show that the fault estimate by concurrent learning converges to the actual fault value, and then illustrate the design of a recovery controller. The approach allowing increase robustness of the diagnostic process under disturbances is suggested.

The approach includes two stages: 1 synthesis of sliding mode observer, sensitive to the disturbance and invariant with respect to the fault; this observer estimates the value of disturbance, 2 synthesis of diagnostic observer, sensitive to the disturbance and fault, using the estimated value of disturbance; this observer provides fault detection.

In the multi-fault case, a complex of diagnostic tools is constructed. Root cause diagnosis of oscillations enables corrective action to return to desired operation. Numerous data-based methods for diagnosis of oscillations have been developed. Transfer entropy and the nonlinearity index are popular techniques that have been proven effective for oscillation diagnosis for a number of processes. Transfer entropy is a causality analysis technique. Causal relationships between measured variables are inferred, which allows the oscillation propagation path to be traced. The nonlinearity index ranks variables according to their nonlinearity content.

The results revealed contradictory root causes for transfer entropy and the nonlinearity index. Consideration of process knowledge indicated that the transfer entropy results were consistent with the material flow and control structure. This indicates that transfer entropy accurately traced the oscillation propagation, while the nonlinearity index gave erroneous results. Nonlinear behaviour occurring in the process caused nonlinear trends to develop downstream of the root cause, making the assumptions of the nonlinearity index invalid. This result demonstrates the need for careful analysis of fault diagnosis results using expert knowledge of the process.

Dresden Ding, Kai Tech. Dresden Janschek, Klaus Tech.

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Dresden Braun, Joel Siemens Healthcare GmbH Keywords: Dependability , Petri net-based diagnosis , Controller reconfiguration, networked systems Abstract: This paper introduces a new stochastic method for model-based analysis of the timing behavior for reliable design of mechatronic systems with distributed, concurrent processes. Given a baseline behavioral system model, e. The method comprises a specific baseline model reduction, the mapping of the semi-formal model into a formal stochastic Petri net model, and the generation of a discrete-time Markov chain model.

www.hiphopenation.com/mu-plugins/dwi/cex-gay-millionaire.php The results allow the design verification and the comparison of various design options regarding the timing behavior in early design phases. A concept study of a mobile medical patient table serves as a demonstrative example. Optimum machining is highly dependent on the performance and condition of the spindle, within which the bearing system represents the mechanical components with the greatest likelihood of failure. The advances in the use of the Wavelet Transform WT was analyzed and a fault detection method for spindles was proposed. This method automatically detects the frequency range where most information of the fault is located and separates it from other noisy frequencies.

Furthermore, faults can be detected at early stages. Early results, validated with experimental data, are promising for an automatic system. Libre De Bruxelles Keywords: Graph-theoretical methods, process engineering examples , Filtering and estimation , FDI for nonlinear Systems Abstract: In this paper, first a simplified electrochemical model that includes internal faulty modes capacity, power and rate capability fade is developed for a lithium-ion battery.

It is derived from the so-called equivalent hydraulic model for the battery electrodes, but it also includes the electrolyte dynamics as well as the thermal effects.

Next this model is exploited to design a diagnosis system able to detect and isolate both internal faults and sensor faults. This system relies on a dual unscented Kalman filter for residual generation, as well as tracking of the parameters and the states of the model.

The simulation results demonstrate that a set of fault indicators that allow fault discrimination can be obtained with the proposed approach. The key step in such a procedure is the characterization of the connectors, which is realized through measurements on a pair of connectors linked by a short cable segment.

The analysis for deducing the characteristics of a single connector from measurements made on an assembled pair is known as the bisection problem. In this paper, after recalling the underdetermined nature of the bisection problem, a practically effective de-embedding procedure is proposed based on a particular regularization technique. Numerical examples are presented to illustrate the effectiveness of this procedure. De Poitiers Doget, Thierry Univ.