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Mohammed Chadli - Command-control for Real-time Systems

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Mohammed Chadli Command-control for Real-time Systems

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A real-time system is a complex system which is an integral part of an industrial or experimental system, a vehicle or a construction machine. The peculiarity of these systems is that they are driven by real-time targets in distributed environments.
Command-control for Real-time Systems presents the calculation of correction for industrial systems of different physical natures, their implementation on real-time target industrial systems (PLC-SCADA, embedded systems with distributed networks, Networked Control Systems) and their validation by simulation. It optimizes industrial processes by the use of automatic tools, industrial computing and communications networks and aims to successively integrate new control laws (linear, nonlinear and fuzzy controllers) so that users can leverage the power of engineering science as an automatic service process optimization while maintaining their high maintainability facilities.

Contents

1. Introduction.
2. Modeling Tools, Sbastien Cabaret and Mohammed Chadli.
3. Control Tools, Mohammed Chadli and Herv Coppier.
4. Application to Cryogenic Systems, Marco Pezzetti, Herv Coppier and Mohammed Chadli.
5. Applications to a Thermal System and to Gas Systems, Sbastien Cabaret and Herv Coppier.
6. Application to Vehicles, Elie Kafrouni and Mohammed Chadli.
7. Real-time Implementation, Marco Pezzetti and Herv Coppier.

About the Authors

Mohamed Chadli is a senior lecturer and research supervisor at the University of Picardie Jules Verne (UPJV) in France. His main research interests lie in robust control, the diagnosis and fault tolerant control of polytopic systems and applications for automobiles. He is a senior member of the IEEE, and Vice President of the AAI Club as part of SEE-France. He is the author/co-author of 3 books, book chapters and more than 100 articles published in international journals and conferences.
Herv Coppier is a lecturing researcher at ESIEE-Amiens in France. He has collaborated with industrialists in the field of automation and industrial computing, particularly with CERN, and has spearheaded various international European projects.

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First published 2013 in Great Britain and the United States by ISTE Ltd and - photo 1

First published 2013 in Great Britain and the United States by ISTE Ltd and - photo 2

First published 2013 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.

Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address:

ISTE Ltd

27-37 St Georges Road

London SW19 4EU

UK

www.iste.co.uk

John Wiley & Sons, Inc.

111 River Street

Hoboken, NJ 07030

USA

www.wiley.com

ISTE Ltd 2013
The rights of Mohamed Chadli and Herv Coppier to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.

Library of Congress Control Number: 2013934628

British Library Cataloguing-in-Publication Data
A CIP record for this book is available from the British Library
ISBN: 978-1-84821-365-4

Printed and bound in Great Britain by CPI Group UK Ltd Croydon Surrey CR0 - photo 3

Printed and bound in Great Britain by CPI Group (UK) Ltd., Croydon, Surrey CR0 4YY

Chapter 1
Introduction

The topic of this book is automation engineering applied to real systems. We use the term real systems to denote any complex system which forms an integral part of an industrial system, experimental system or onboard system in a vehicle or industrial machine. The peculiarity of these systems is that they are guided by real-time targets in a distributed environment.

Current research in the field of automation engineering relates mainly to systems of finite or of large dimensions, time-delayed systems, discrete event systems, hybrid dynamical systems, incomplete linear systems, etc., the modeling of such systems, identification of them, analysis of their stability, controlling them by coming up with different control laws such as:

sliding mode control;
predictive control;
robust control;
fuzzy control;
etc.

The applications for such systems are many, and include applications in all sectors:

electrical machines;
environmental systems;
vehicle dynamics;
robotics;
life sciences;
process engineering;
communications networks;
aircraft;
aeronautics and aerospace;
etc.

The tools available in modern automation engineering serve many purposes, such as identification, parametric estimation, creation of correctors and observers, fault diagnosis, surveillance, etc.

The aim of the research reported herein relates to the computing of correctors for industrial systems of different physical natures, their implementation on real-time industrial targets (API/SCADA systems, embedded systems with distributed networks, Networked Control Systems (NCSs)) and their validation by means of simulation. When creating correctors, we use identification techniques or knowledge modeling. The primary approach in these various research projects is the optimization of industrial systems at the level of their control by making use as fully as possible of the resources available to us in industrial computing, communications networks and minimizing the realization time. In terms of control, 90% of regulation loops have a simple PID (Proportional/Integral/Derivative) control which, in addition, is often not optimized. Certain tools are lacking, as yet, for which we need to write control laws.

The considerable majority of procedures do not have knowledge models, so there is a clear advantage to developing efficient tools to identify knowledge on the basis of ground measurements.

The works presented in this book all stem from research carried out in an industrial context, and published in doctoral theses and masters dissertations:

in the context of the regional project DIVA (research hub in Picardie, 20022005), the topics were: i) kinematic modeling of a hydraulic mechanical polyarticulated system; and ii) the building of a test array around a distributed computer structure for the excavator-loader created as part of the regional project Aide la conduite et dtection de situations critiques pour engins intelligents de chantier (driving support and critical situation detection for smart building machines);
in the SEDVAC project (financed by the region of Picardie and FERDER, 20082012, UPJV-UTC collaboration; project leader: M. Chadli), the topic was the development of systems to support the driving of an automobile. The objective was to develop risk indicators based on the vehicles dynamics and observer-based estimation techniques (estimation of road curvature, of slope, etc.);
thermodynamic modeling of a cryogenic exchanger for the NA48 calorimeter at CERN was performed in the context of a partnership between the UPJV/ESIEE of Amiens and CERN to overhaul the control/command system of the NA48 experiment. Computation of the TDC (Time Delay Control) corrector for the overhaul of the control/command system of the NA48 experiment was done (thesis of Eng. M. Pezzetti, 2010). The collaboration with CERN also involved the description of the UNICOS framework object, the implementation of the object Multi-controller, the creation of digital models by identification for the gas mixing systems for the four LHC cryogenics experiments at CERN (the Gas Control System (GCS) project);
a partnership between ESIEE-Amiens and Schneider Electric involved the computation of the internal model corrector (IMC) to regulate the output temperature of the superheater at an Alstom coal-burning power plant in Algeria;
the works presented herein about modeling and multi-model control (also known as Takagi-Sugeno Fuzzy Models) are the result of many research projects carried out in the context of projects and theses supported in the past few years. These works relate to Takagi-Sugeno fuzzy control systems, fault-tolerant control systems, fault diagnostic systems and their applications in the automobile domain.

In more general terms, these works aimed to optimize industrial processes by using tools from automation engineering, industrial computing and communications networks. Indeed, in order to improve their product, industrialists have a never-ending need to optimize the regulating parameters of their procedures. Beyond the study of which control laws to use depending on the process to be modeled, it is also a question of providing generic tools which will work on any industrial computing platform (API/SCADA system) to guide the procedure(s), whilst integrating these tools as closely as possible into a clearly-defined development framework. In the particular case of an autonomous machine (area network or building machine), the computer structure is a system such as an embedded PC or microprocessor with a control area network that transmits distributed measurements to the mobile unit. The question then arises of the reliability and rapidity of area network control loops.

In order to study a real system, the following stages are necessary:

understanding the specifications of the study that is to be carried out (description of a systems operation, constraints, operation point, the problem at hand and the objectives to be achieved);
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