Skip to main content

Practice and trends in control engineering

  • Conference paper
  • First Online:
Colloquium on Automatic Control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 215))

  • 167 Accesses

Abstract

With reference to automatic control, the lecture will analyse the current state of engineering methods available for industrial applications, the principal needs demanding for more systematic and reliable design methods and the lines along which engineering reserch moves to meet such demands. Two different aspects of innovation are considered: the development of new products enhancing the capability of Control Systems (either in stand-alone form or as Distributed Control Systems) to implement and manage more advanced and effective control strategies; the development of tools and frameworks able to improve the work process of engineering projects. Attention is focused on key points for engineering practice: role of standards, data sharing and integration, CAE for control, simulators, and other means suitable to build an actual bridge between Control Science and Engineering. Recent proposals are finally discussed that widen the scope of automatic control to different real-time functions, acting as support for the operator's decision making.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Boyette P., Bhullar R. S. Challenges of tomorrow for the control systems professionals. ISA Transactions 1994, vol. 33, pp. 197–205.

    Article  Google Scholar 

  2. Taylor J. Temperature controller market and product trends. Control Engineering, Nov. 1993.

    Google Scholar 

  3. Morris H. Multiloop DIN-sized process controllers keep getting smaller. Control Engineering, Feb. 1993.

    Google Scholar 

  4. Babb M. New multifunction controller provides advanced strategies. Control Engineering, Sept. 1995, pp. 57–58.

    Google Scholar 

  5. Åström K., Hagglund T. PID Controllers: theory, design and tuning. Second ed., ISA, 1995.

    Google Scholar 

  6. Vandoren V. Inside self-tuning PID controllers. Control Engineering, August 1993.

    Google Scholar 

  7. Ziegler J.G., Nichols N. B. Optimum settings for automatic controllers. ASME Transactions, Vol. 64, 1942, pp. 759–768.

    Google Scholar 

  8. Hang C. C., Åström K., Ho W. K. Refinements of the Ziegler-Nichols tuning formula. Proc. IEE, Pt. D, 138, no. 2, 111–118, 1991.

    Google Scholar 

  9. Åström K., et alii. Towards Intelligent PID Control, Automatica, No.1, 1992.

    Google Scholar 

  10. Åström K., Hagglund T. Automatic tuning of simple regulators with specifications on phase and amplitude margins. Automatica, Vol. 20, No.5, 1984.

    Google Scholar 

  11. Hang, C. C.,Åström K. Practical aspects of PID auto-tuners based on relay feedback, Prepr. IFAC Symp. on Adaptive Control of Chemical Processes, ADCHEM '88, Lyngby, Denmark, 1988.

    Google Scholar 

  12. Maffezzoni C., Magnani G. A., Quatela S. Process and control design of high temperature solar receivers: an integrated approach. IEEE Transactions on Automatic Control, vol. AC-30 pp. 194–209, 1984.

    Google Scholar 

  13. Ferretti G., Maffezzoni C., Scattolini R. On the identifiability of time delay with least squares methods. Automatica 1996, vol. 32, no. 3, pp. 449–453.

    Article  MATH  MathSciNet  Google Scholar 

  14. Richalet J. A., Rault A., Testud J. L., Papon J. Model predictive heuristic control: application to an industrial process. Automatica 1978, vol. 14, pp. 413–428.

    Article  Google Scholar 

  15. Cutler C. R., Ramaker B. L. Dynamic matrix control: a computer control algorithm. Proc. Joint Autom. Control Conf., San Francisco, 1980.

    Google Scholar 

  16. Seborg D. E., T.F. Edgar, D.A. Mellichamp. Process dynamics and control. Wiley Series in Chem. Eng., 1989

    Google Scholar 

  17. Froisy J.B. Model based predictive control: paste, present and future, ISA Transactions 33, pp. 235–243, 1994.

    Article  Google Scholar 

  18. Vandoren V. Advances in model-based control technology. Control Engineering, Sept. 1994.

    Google Scholar 

  19. Olsson G. Programmable controllers. In: Levine W S (ed), The Control Handbook, CRC Press — IEEE Press, 1996, pp. 345–361.

    Google Scholar 

  20. International Electrotechnical Commission. International Standard IEC 1131-3, 1st Edition, 1993.

    Google Scholar 

  21. David R. Grafcet: a powerful tool for specification of logic controllers. IEEE Trans. on Control Systems Technology 1995, vol.3, no. 3, pp. 253–268.

    Article  Google Scholar 

  22. Ferretti G., Maffezzoni C., Scattolini R. The recursive estimation of time delay in sampled-data control systems. In: Leondes C (ed.), Control and Dynamic Systems, vol. 73, Academic Press, 1995.

    Google Scholar 

  23. Fieldbus Series, Control Engineering, January, March, May, July, September, December, 1994.

    Google Scholar 

  24. Capetta L., Galara D., Graefer J., Lovishek G. P., Mondeil L., Sanguineti M. From current acrtuators and transmitters toward intelligent actuation and measurement: PRIAM approach. Proc. of International BIAS Conf., Milan (Italy), 1993.

    Google Scholar 

  25. Kompass E. A 40-Year perspective on control engineering. Control Engineering, Sept. 1994.

    Google Scholar 

  26. Henry M.P., Clarke D. W. The self-validating sensor: rationale, definitions and examples. Control Engineering Practice. 1(4), 585–610, 1993.

    Article  Google Scholar 

  27. Clarke D. W. Sensor, actuator and loop validation. IEEE Control System Magazine, Vol. 15, 4, Aug. 1995.

    Google Scholar 

  28. Albus J. S., Quintero R. Toward a reference model architecture for real-time intelligent control systems (ARTICS). In: Robotics and Manufacturing, vol. 3, ASME Press, 1990.

    Google Scholar 

  29. Putz P., Elfving A. ESA's control development methodology for space AR systems. In: Jamshidi M, et al. (eds), Robotics and Manufacturing: Recent Trends in Research, Education and Appl., vol. 4, ASME Press, 1992.

    Google Scholar 

  30. Faccini G, Tira P. Roles and tools of engineering contractors. Automazione e Strumentazione Nov. 1995, pp. 107–113 (in italian).

    Google Scholar 

  31. McCulloch G. Reduced algorithm set control. Control Engineering Practice 1996, vol. 4, no. 2, pp.195–205.

    Article  Google Scholar 

  32. Kohn W., James J., Nerode A., Harbison K., Agrawala A. A hybrid system approach to computer-aided control engineering. IEEE Control Systems 1995, vol. 15, no. 2, pp. 14–25.

    Article  Google Scholar 

  33. James J. R., Taylor J. H., Frederick D. K. An expert system architecture for coping with complexity in computer-aided control engineering. Proc. 3rd IFAC/IFIP Symp. on Computer-Aided Design in Control and Engineering Systems, Beijing (PRC), 1988.

    Google Scholar 

  34. Grübel G. The ANDECS CACE framework. IEEE Control Systems 1995, vol. 15, no. 2, pp. 8–13.

    Article  Google Scholar 

  35. James J., Cellier F., Pang G., Gray J., Mattsson S. E. The state of computer-aided control system design (CACSD). IEEE Control Systems 1995, vol. 15, no. 2, pp. 6–7.

    Article  Google Scholar 

  36. Groppelli P., Maini M., Pedrini G., Radice A. On plant testing of control systems by a real-time simulator. 2nd Annual ISA/EPRI Joint Control and Instrumentation Conference, Kansas Cyty (USA), 1–3 June, 1992.

    Google Scholar 

  37. Cellier F. E., Elmquist H., Otter M. Modeling from physical principles. In: Levine W S (ed), The Control Handbook, CRC Press — IEEE Press, 1996, pp. 99–108.

    Google Scholar 

  38. Mattsson S. E., Andersson M., Åström K. J. Object-oriented modeling and simulation. In: Linkens D A (ed.), CAD for Control Systems, Marcel Dekker Inc., 1993, pp. 31–69.

    Google Scholar 

  39. Maffezzoni C, Girelli R, Lluka P. Object-Oriented database support for modular modelling and simulation. Proc. European Simulation Multiconference ESM '94, Barcellona, June 1–3, 1994.

    Google Scholar 

  40. Andersson M. Object-oriented modeling and simulation of hybrid systems. PhD Thesis, Dept. Autom. Control, Lund Inst. of Technology, Lund, Sweden, Dec. 1994.

    Google Scholar 

  41. Ferrarini L., Maffezzoni C.A conceptual framework for the design of logic control. IEE Intelligent Systems Engineering, Winter 1993, pag.246–256.

    Google Scholar 

  42. Bristol E. H. On a new measure of interaction for multivariable process control. IEEE Transactions 1966, vol. AC-11, pp. 133–134.

    Google Scholar 

  43. Fararooy S., Perkins J. D., Malik T. I., Oglesby M. J., Williams S. Process controllability toolbox (PCTB). Computers Chem. Engng. 1993, vol. 17, no. 5/6, pp. 617–625.

    Article  Google Scholar 

  44. Kwatny H., Maffezzoni C. Control of electric power generating plants. In: Levine W S (ed), The Control Handbook, CRC Press — IEEE Press, 1996, pp. 1453–1483.

    Google Scholar 

  45. Bolis V., Maffezzoni C., Ferrarini L. Synthesis of the overall boilerturbine control system by single loop auto-tuning technique. IFAC J. Control Engineering Practice, 3, 6, pp. 761–771, 1995.

    Article  Google Scholar 

  46. Isidori A. Nonlinear Control Systems. 3rd edn. Springer, London, 1995.

    MATH  Google Scholar 

  47. Passino K. M., Yorkovich S. Fuzzy control. In: Levine W S (ed), The Control Handbook, CRC Press — IEEE Press, 1996, pp. 1001–1017.

    Google Scholar 

  48. Farrel J. A. Neural control. In: Levine W S (ed), The Control Handbook, CRC Press — IEEE Press, 1996, pp. 1017–1030.

    Google Scholar 

  49. Isermann R. On the applicability of model based fault-detection for technical processes. Control Engineering Practice 1994, vol. 2, no. 2, pp. 439–450.

    Article  Google Scholar 

  50. Morari M., Zafirion E. Robust Process Control. Prentice Hall Int., 1989.

    Google Scholar 

  51. Sahlin P., Bring A., Sowell E. The neutral model format for building simulation. Swedish Inst. of Applied Mathematics, ITM Report no. 1992:3, Göteborg, March 1992.

    Google Scholar 

  52. Bartolini A., Leva A., Maffezzoni C., Power Plant Simulator Embedded in a Visual Programming Environment, Proc. IFAC Symp. SIPOWER '95, Cancún 1995, pp. 119–124.

    Google Scholar 

  53. Simon D., Espian B., Castillo E., Kapellos K. Computer-aided design of a generic robot controller handling reactivity and real-time control issues. IEEE Trans. on control Systems Technology 1993, vol. 1, no. 4, pp. 213–229.

    Article  Google Scholar 

  54. Otter M., Grübel G. Direct physical modeling and automatic code generation for mechatronics simulation. Proc. 2nd Conf. on Mechatronics and Robotics, Duisburg, 1993.

    Google Scholar 

  55. Blankenship G. L., Ghanadau R., Kwatny H. G., La Vigna C., Polyakov V. Tools for integrated modeling, design and nonlinear control. IEEE Control Systems 1995, vol. 15, no. 2, pp. 65–77.

    Article  Google Scholar 

  56. SpeedUpâ„¢. Aspen technology. 1991.

    Google Scholar 

  57. Rutz R., Richert J. CAMeL: an open CACSD environment. IEEE Control Systems 1995, vol. 15, no. 2, pp. 26–33.

    Article  Google Scholar 

  58. Ferretti G., Magnani G., Putz P., Rocco P. The structural design of an industrial robot controller. Control Engineering Practice 1996, vol. 4, no. 2, pp. 239–249.

    Article  Google Scholar 

  59. Lausterer G. K. Economic benefits of advanced control of power plants. Proc. of International BIAS Conf., Milan (Italy), 1993.

    Google Scholar 

  60. Lausterer G. K. The preview computer: a new aid for supervision and control of complex systems. Proc. of INTERKAMA Congress 92, Düsseldorf (Germany), 1992, pp. 106–115.

    Google Scholar 

  61. Ramming J., Wagner R. Optimization computer reduces costs for fuel and external power supplies. Energy and Automation 1990, vol. 12, pp. 43–44.

    Google Scholar 

  62. Lausterer G. K., Klinger-Reinhold R., Seibert E. A. knowledge-based operator system — Concepts, knowledge acquisition and practical experience. I MECH E Seminar on the application of expert systems in the power generation industry, London, Nov. 17, 1993.

    Google Scholar 

  63. Richalet J. Industrial applications of model based predictive control. Automatica, Vol. 29, No. 5, pp. 1251–1274, 1993.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Claudio Bonivento Giovanni Marro Roberto Zanasi

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag London Limited

About this paper

Cite this paper

Maffezzoni, C., Magnani, G. (1996). Practice and trends in control engineering. In: Bonivento, C., Marro, G., Zanasi, R. (eds) Colloquium on Automatic Control. Lecture Notes in Control and Information Sciences, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0043578

Download citation

  • DOI: https://doi.org/10.1007/BFb0043578

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76060-3

  • Online ISBN: 978-3-540-40948-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics