Control of Mechatronic Systems. Patrick O. J. Kaltjob

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(ii) the sizing and selection of the instrumentation involved in industrial process control as well as microelectromechanical devices and smart sensors; (iii) the use of microprocessors for process control, as well as signal conditioning and (iv) the sizing and the selection of actuating equipment for industrial processes. Numerous examples and case studies are used to illustrate formal modeling, hybrid controller design and the selection of instrumentation for electrical-driven machine actuation and DAQ related to systems dynamics and process operations. Through these case studies, the reader should gain practical understanding of topics related to the control system and instrumentation allowing him/her to fulfill a control and instrument engineering position where he/she is expected: (i) to possess a good knowledge of instrumentation operating conditions and control requirements; (ii) to size and select control instrumentation; (iii) to design, develop and implement digital controllers; (iv) to design engineering processes and electrical-driven systems; (v) to collaborate with design engineers and process engineers and technicians for the cost- and time-based acquisition of systems and processes control equipment and (vi) to perform technical audit to ensure instruments compliance with health and safety regulations.

      Suggestions for a teaching plan for applied control theory of mechatronic systems and electrical-driven processes would be as follows: (i) Chapter 1 through Chapter 5 (up to Section 5.3.1) for an introductory digital control level course during a semester; (ii) Chapters 2, 3 and 5 (Sections 5.3 and 5.4) for advanced control students with a control theory background; (iii) Chapters 1, 3 (Sections 3.3 and 3.4) and 8 for electric-driven machine and instrumentation students with computer hardware and software programming experience; (iv) Chapters 2, 3 (Sections 3.3 and 3.4), 5 (Sections 5.2.4, 5.3 and 5.4) and 6–8 for field control and instrumentation engineers interested in the design or the migration of process control of hybrid systems.

      This book makes extensive use of MATLAB® routines, distributed by Mathworks, Inc. A user with a current MATLAB license can download trial products from their website. Someone without a MATLAB license can fill out a request form on the site, and a sales rep will arrange the trial for them. For additional MATLAB product information, please contact:

      The MathWorks, Inc.

      3 Apple Hill Drive

      Natick, MA, 01760-2098 USA

      Tel: 508-647-7000

      Fax: 508-647-7001

      E-mail: [email protected]

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      This book is accompanied by a companion website which aims to support the teaching efforts of instructors through:

      (email author at [email protected] to have FREE access to the secured website)

      The website includes:

      1 Lectures material for following courses package:Digital control systemsInstrumentation: sizing and selection sensors and actuatorsMechatronic systems designProcess automation and monitoringAdvanced control systems: predictive, distributed, adaptive control strategiesElectric motor/machine control: stepper, DC, AC/inductionControl and instrumentation

      2 For each course listed above reading guides, other classroom resources (visual summary, course outlines/summary, animation slides);

      3 For each lecture session, multiple choice questions, for each course sample exams;

      4 for each Textbook chapter, solution manual, study questions, flash cards;

      5 Solved real-life problems and projects, 2D and 3D applications for sessions of laboratory simulation.

      1.1 Introduction

      The rapid expansion of automated electrically-driven systems (e.g. electromechanical machines) is related to the development of digital control strategies in order to enhance their performance and extend their functionality while significantly reducing their operating cost and complexity. However, those digital control strategies are dependent on the performance of the control instrumentation related to measurement, signal conditioning, actuating, and digital control technologies. Recent technology advancements offer a plethora of control systems instrumentation, each with design-specific requirements and compliance constraints. Hence, in addition to system modeling, the design of digital control strategies has to consider: (i) the selection of control instrumentation in accordance with performance objectives; and (ii) the integration of the control systems instrumentation and process equipment with respect to operating constraints.

      Consequently, it is suitable to lay out a generic design procedure for digital control systems, especially in: (i) controlling electrically-driven systems; (ii) sizing and selecting control instrumentation related to information processing and computing, electrically-driven actuation, process sensing and data acquisition; (iii) integrating those control instrumentation with respect to controlled system performance objectives and operating constraints; and (iv) integrating multifunctional control applications.

      In this chapter, the definition and classification of electrically-driven systems and technical processes are presented first. Then the functional relationship between electromechanical machine control and control within interconnected and synchronized electromechanical systems is outlined. Various components of control systems instrumentation are described along with their design requirements. Furthermore, major steps of control system migration projects are presented with some illustrative examples of industrial process control. Finally, key project management steps and the associated subsequent design documents are listed.

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