Patrick O. J. Kaltjob - Control of Mechatronic Systems

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A practical methodology for designing integrated automation control for systems and processes Implementing digital control within mechanical-electronic (mechatronic) systems is essential to respond to the growing demand for high-efficiency machines and processes. In practice, the most efficient digital control often integrates time-driven and event-driven characteristics within a single control scheme. However, most of the current engineering literature on the design of digital control systems presents discrete-time systems and discrete-event systems separately. 
 unites the two systems, revisiting the concept of automated control by presenting a unique practical methodology for whole-system integration. With its innovative hybrid approach to the modeling, analysis, and design of control systems, this text provides material for mechatronic engineering and process automation courses, as well as for self-study across engineering disciplines. Real-life design problems and automation case studies help readers transfer theory to practice, whether they are building single machines or large-scale industrial systems. 
Presents a novel approach to the integration of discrete-time and discrete-event systems within mechatronic systems and industrial processes Offers user-friendly self-study units, with worked examples and numerous real-world exercises in each chapter Covers a range of engineering disciplines and applies to small- and large-scale systems, for broad appeal in research and practice Provides a firm theoretical foundation allowing readers to comprehend the underlying technologies of mechatronic systems and processes 
 is an important text for advanced students and professionals of all levels engaged in a broad range of engineering disciplines.

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Vice President and Editorial Director: Amanda L. Miller

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Control of Mechatronic Systems

Model-Driven Design and Implementation Guidelines

Patrick O.J. Kaltjob

Ecole Nationale Superieure Polytechnique

Yaounde, Cameroun

This edition first published 2019 2019 John Wiley Sons Ltd All rights - фото 1

This edition first published 2019

© 2019 John Wiley & Sons Ltd

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this titleis available at http://www.wiley.com/go/permissions.

The right of Patrick O J Kaltjob to be identified as the author of this work has beenasserted in accordance with law.

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MATLAB ®is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exercises in this book. This work’s use or discussion of MATLAB software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB software. While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

Library of Congress Cataloging-in-Publication Data

Names: Kaltjob, Patrick O. J., author.

Title: Control of mechatronic systems : model-driven design and implementation guidelines / Patrick O. J. Kaltjob.

Description: Hoboken, NJ : John Wiley & Sons, 2020. | Includes bibliographical references and index.

Identifiers: LCCN 2018051541 (print) | LCCN 2019022413 (ebook) | ISBN 9781119505808 (hardcover)

Subjects: LCSH: Mechatronics. | Manufacturing processes.

Classification: LCC TJ163.12 .K34 2019 (print) | LCC TJ163.12 (ebook) | DDC 621–dc23

LC record available at https://lccn.loc.gov/2018051541

LC ebook record available at https://lccn.loc.gov/2019022413

Cover design by Wiley

Cover image: © Menno van Dijk/ iStock.com

To the Holy Trinity and Saint Mary

Special thanks to Stella, Emmanuelle, Naomi, Lukà and David

To Aaron, Thomas, Olive and Anne

Preface

The control of mechatronic systems and electrical-driven processes aims to provide tools to ensure their operating performance in terms of productivity, optimization, reliability, safety, continuous operations and even stability. This is usually achieved through hybrid control paradigms using digital or analog tools. Nowadays, digital tools are widely considered to implement control systems as they offer numerous advantages including their ability: (i) to ease the control system implementation; (ii) to design complex and built-in intelligent information processing combining multiple functions for control, fault detection and diagnostic, monitoring and planning decisions; (iii) to integrate logic and continuous control algorithms as well as supervision programs into hybrid control strategies; (iv) to enhance the synchronization of input and output process operations; (v) to coordinate control actions among geographically distributed systems and processes and (iv) to achieve reliable and optimal operating conditions.

The digital control system architecture usually consists of the integration of the following functional units: a data processing and computing unit, an electrical-driven actuating unit, a measuring and detecting unit, a data acquisition (DAQ) and transmitting unit and a signal conditioning unit. The data processing and computing unit can be implemented through devices such as microcontroller (μC), programmable logic controller (PLC) with a control function, digital signal processing (DSP)a and a field-programmable gate array (FPGA).

The design of efficient control systems requires the mathematical modeling of mechatronic systems and process dynamics. This can be achieved in accordance with the operating characteristics (discrete and continuous) and objectives as well as technological constraints of the related instrumentation (signal conversion, transmission, conditioning, measurement, actuation etc.). However, in most of the current engineering literature on the design of digital control systems, the mathematical foundation of discrete time and discrete event systems is usually presented separately from the technological constraints of control instrumentation. For example, the operating time delay models or signal to noise ratio from digital device interfaces are not usually considered. Hence, the theoretical control algorithms proposed have limited practical applicability.

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