Mr Mecathronics

Mr 4001 Mecathronics

Introduction to theoretical and practical fundamentals of mechatronic systems: mechanical, electrical and electronics components. Steady state and transient analysis of feedback control systems. Computational tools for modeling and simulation. A project will be developed as part of the course.

Text book:

  • Mechatronic Electronic Control Systems in Mechanical Engineering Second Edition W. Bolton

Reference books:

  • Introduction to Physical System Dynamics R. Rosenberg and D. Karnopp Mc Graw Hill, Inc.
  • Modern Control Engineering Fourth Edition K. Ogata Prentice Hall

Instructor Profile: PhD in areas related with Mechatronics in a team-teach

 

Mr 5005 Advanced digital control

Equivalence: Tf 99 236

This course covers SISO systems, their control on discrete time and the least squares identification. Furthermore, covers stability, robustness and sensitivity functions. Also, one analyzes and designs control systems with: PID, RST and minimum variance.

Bibliography:

  • Aström, K.J. y Wittenmark, B. 1997. Computer-controlled systems. Theory and design. Upper Saddle River, N.J.: Prentice-Hall.

Instructor Profile: Ph. D in Control Engineering, Artificial Intelligence, or related areas. It is important that the professor has extensive experience in research and had articles published.

 

Mr 5006 Laboratory of advanced digital control

Equivalence: Tf 99 246

The laboratory covers all the material seen on theory, on simulation and real process. One designs a human-machine interface to control a real process with a PID algorithm and RST structure, also one programs the autotuning algorithm (relay method), and the least squares algorithm.

Bibliography:

  • Aström, K.J. y Wittenmark, B. 1997. Computer-controlled systems. Theory and design. Upper Saddle River, N.J.: Prentice-Hall.

Instructor Profile: Ph. D in Control Engineering, Artificial Intelligence, or related areas. It is important that the professor has extensive experience in research and had articles published.

 

Mr 5007 Structuring automation systems

Equivalence: Tf 99 244

This course covers the automation like a competitive strategy and the automation technology trends. Also covers the difference between human and technology necessities and the cost-profit relationship of an automation system. Furthermore, covers the methodology of implementing and managing an automation system.

Bibliography:

  • G.F. and Powell J.D. Digital control of dynamic systems. Addison Wesley 1990.
  • ANSI/ISA-s5.1-1984. Instrumentation Symbols and Identification, American National Standard. ISA R1992.

Printed articles:

  • Astrom K. and Hägglund T. Automatic tuning of simple regulator with specifications on phase and amplitude margins. Automatica, 20(5):645-651, 1984
  • O'Leary, Norm (1999). How to find the right control system integrator. Control Engineering, 46-47, p. 15.
  • Mintchell, G.A. (2000). How to succeed with open control. Control Engineering, 46-47, p. 75.
  • Mintchell, G.A. (2000). How to succeed with open control. Control Engineering, 46-47, p. 83.
  • Mintchell, G.A. (2000). How to succeed with open control Control Engineering, 46-47, p. 75.
  • VanDoren, V (2000). How to simplify PID control/Understanding PID control Control Engineering, 47, p. 53.
  • Johnson, Dick (1999). How to simplify PID control/Understanding PID control Control Engineering, 46, p. 48.

WWW:

  • Multivariable Controllers Enter the Mainstream. Control Engineering-March 1997 Http://www.controleng.con/archives/1997/ctrl0301.97/03f204.htm
  • Power Up for Control. Control Engineering-June 2000 http://www.controleng.com/archives/2000/ctrl0601.00/000603.htm
  • http://www.entrelec.com/ads/
  • http://www.yokogawa-europe.com/
  • http://www.fieldbus.org/
  • http://www.modbus.org/

Instructor Profile: Ph. D in Control Engineering, Artificial Intelligence, or related areas. It is important that the professor has extensive experience in research and had articles published.

 

Mr 5008 Integration of automation in manufacturing processes

Equivalence: Tf 99 245

This course covers the analysis and improvement of manufacturing processes. Also covers the application of robots, vision systems, numerical control machines for supervision and improvement of manufacturing processes.

Bibliography:

  • Groover, M.P. 2000. Automation, production systems an computer-integrated manufacturing. Prentice-Hall
  • Hopp, W.J., and Spearman, M.L. 2000. Factory physics. McGraw-Hill.
  • Kelton, D., Sadowski, R.P. and Sadowski, D.A. 1998. Simulation with Arena. McGraw-Hill.

Instructor Profile: Ph. D in Control Engineering, Artificial Intelligence, in Industrial Engineering or related areas. It is important that the professor has extensive experience in research and had articles published.

 

Mr 5009 Instrumentation for measurement and control

Equivalence: Tf 99 226

This course covers concepts related with static and dynamic characteristics of instruments, operation principles of sensors and actuators, and different sensors for detection and monitoring. Also covers the intelligent instrumentation, signal conditioning systems, signal acquisition systems and digital bus-based technologies.

Bibliography:

  • Doebelin, E.O. 1990. Measurement systems. Application and design. McGraw-Hill
  • Fraden, J. 1996. Handbook of modern sensors . Springer-Verlag Beckwith,
  • T. y Marangoni, R. 1990. Mechanical measurements. Addison Wesley

Instructor Profile: Ph. D in Control Engineering, Artificial Intelligence, or related areas. It is important that the professor has extensive experience in research and had articles published.

 

Mr 5010 Industrial logic control

Equivalence: Tf 99 223

This course covers combinational and sequential logic control, analysis and design of Petri nets for manufacturing processes and automation of sequences using SFC/Grafcet. Also covers flexible automation using PLC and new trends on automation.

Bibliography:

  • Pessen, D.W. 1989. Industrial automation. Circuit design and components. John Wiley & sons, Wiley-Interscience
  • Dietmeyer, D.L. 1988. Logic design of digital systems . Allyn & Bacon

Instructor Profile: PhD in Control Engineering, in Artificial Intelligence, or related areas. It is important that the professor has extensive experience in research and had articles published.

 

Mr5011 Laboratory of advanced logic control

Equivalence: Tf 99 247

This course covers combinational and sequential logic control, analysis and design of Petri nets for manufacturing processes and automation of sequences using SFC/Grafcet. Also covers flexible automation using PLC and new trends on automation.

Bibliography:

  • Pessen, D.W. 1989. Industrial automation. Circuit design and components. John Wiley & sons, Wiley-Interscience
  • Dietmeyer, D.L. 1988. Logic design of digital systems . Allyn & Bacon

Instructor Profile: PhD in Control Engineering, in Artificial Intelligence, or related areas. It is important that the professor has extensive experience in research and had articles published.

 

Mr 5012 Identification and modern control

Equivalence: Tf 99 225

This course covers the parametric identification of MIMO systems, representation and control of systems with state-space approach and optimal design of controllers.

Bibliography:

  • Ogata, K. 1997. Modern control engineering. Prentice-Hall

Instructor Profile: Ph. D in Control Engineering, Artificial Intelligence, or related areas. It is important that the professor has extensive experience in research and had articles published.

 

Mr 5013 Intelligent control

Equivalence: Tf 99 157

This course covers the expert systems application for supervision and control, automatic control using neural networks and fuzzy logic, genetic algorithms for control systems and technology trends and platforms for intelligent control development.

Bibliography:

  • Driankov, D. 1996. An Introduction to Fuzzy Control. Springer-Verlag,
  • Li-Xin W. 1997. A Course in Fuzzy Systems and Control. Prentice Hall, PTR Yen, J.,
  • Langari, R. and Zadeh L. A. 1995. Industrial Applications of Fuzzy Logic and Intelligence Systems. IEEE Press.

Instructor Profile: PhD in Control Engineering, in Artificial Intelligence, or related areas. It is important that the professor has extensive experience in research and had articles published.

 

Mr 5015 Automation of manufacturing systems

Equivalence: In 99 245

This course covers the concept of competitiveness in manufacturing enterprises and fundamental concepts of Manufacturing Systems: structural, transformational and procedural aspect, flexibility and agility. Also covers different perspectives in computer integrated manufacturing and new approaches for the automation of manufacturing systems. Furthermore, covers integration of processes, people, information, and technologies for the automation of manufacturing systems and technologies for computer integrated manufacturing (CAD, CAM, CAPP, CAE, CAT, CAQ, PDT/PDM, MRP, MRPII, ERP, CNC, DNC, FMS/FMC).

Bibliography:

  • Rembold, U., Nnaji, B.O., Storr, A. 1993. Computer Integrated Manufacturing and Engineering. Addison-Wesley

Instructor Profile: PhD in Manufacturing, Control Engineering, in Artificial Intelligence, con experiencia en la industria de manufactura, sistemas y tecnologías para su automatización with experience on manufacturing, systems and technologies for automation. It is important that the professor has extensive experience in research and had articles published.

 

Mr 5016 Flexible manufacturing systems

Equivalence: In 99 231

This course covers the basic concepts of common standard reference models for enterprise integration and the available technologies for product proccesing, it's integration, control and programming to deliver a large variety of products. To learn general concepts of integrated manufacturing, the accepted standards and the relation of manufacturing cells with other plant departments and also communication requirements. Students will learn all the characteristics and operation fundamentals of commonly used sensors in flexible manufacturing for safety operation and robustness. To learn the basic concepts and applications of CNC (computer numerical control) including all the necessary physical elements, its programming and application to milling and coordinate measurement machines.To understand robots operation and application to manufacturing process, its flexibility contribution and the way robots interact with other cell components or production lines. To develop all necessary clamping and reference elements required by manufacturing cells or production lines and specification of commercially available fixtures. Students will study relevance, characteristics and structure of cell controllers, communication protocols between process stations and operation panel.

Bibliography:

  • Tien-Chien Chang, Wysk R. A., Hsu-Pin W. 1991. Computer Aided Manufacturing, Prentice Hall International
  • Bedworth, David D., Henderson M. R., y Wolfe P. M. 1991. Computer Integrated Design and Manufacturing, Mc Graw Hill,
  • Groover, M.P. 2000. Automation, production systems an computer-integrated manufacturing. Prentice-Hall

Instructor Profile: PhD in Mechanical Engineering, or areas related to manufacturing.

 

Mr 5017 Robotics integrated to manufacturing

Equivalencia: M 99 251

This curse covers the use of technology looking for manufacturing operations more profitable and competitive. Robots offers an excellent means of utilizing high technology to make a given manufacturing operation more profitable and competitive. The key feature of robots is their versatility, a programmable robot used in conjunction with a variety of end-effectors can be programmed to perform specific tasks, then later reprogrammed and refitted to adapt to process or production line variations or changes. To know the capabilities and limitations of robots, its programming characteristics and required auxiliary components for a flexible manufacturing environment, before a robot is selected to be used in an application. Fundamentals of robots, Robot technology, Robot programming and languages, Robot Applications in manufacturing, Implementation principles and issues.

Bibliography:

  • Rehg, J.A. 1999 Introduction to Robotics in CIM Systems. Prentice Hall
  • Groover, M.P. Weiss, M. Nagel, R. N. and Odrey N.G. 1986 Industrial Robotics: Technology, programming, and applications. McGraw-Hill, Inc.
  • Jamshidi, M. 1994. Robotics in manufacturing: Recent trend in research, education and applications. Booknews, Inc.,
  • Groover M. P, 1996. Fundamentals of Modern Manufacturing. Prentice Hall

Instructor Profile: PhD in Mechanical Engineering, or areas related to robotics.

 

 

Fecha de la última actualización: 19 de agosto de 2004(ML)