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A novel real-time fuzzy adaptive auto-tuning scheme for cascade PID controllers

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  • Control Theory
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Abstract

This paper presents a novel fuzzy auto-tuning methodology to continuously adapt PID control actions without interrupting the normal process operation. New auto-tuning rules are introduced to schedule a gradual and guided activation of each individual P, I and D control mode in three adjustable functional control zones. An auto-scaling procedure has been incorporated to generalize the autotuning scheme to efficiently respond to any set-point change outside a pre-defined operating span. In contrast to existing auto-tuning algorithms, the proposed scheme is not an on-demand auto-tuning methodology and hence does not require alertness of an experienced engineer to initiate and supervise its initial operation in a separate commissioning identification pre-test. This interesting feature provides a new perspective on PID auto-tuning approaches. Performance of the proposed auto-tuning scheme is practically evaluated in a real pilot plant within a networked control system (NCS) configuration, realized by industrial Ethernet and Foundation Fieldbus technologies. An extensive series of test scenarios has been conducted to explore efficiency of the proposed auto-tuning methodology to cope with fixed and varying operating set-points under uncertain and variable network transmission time delays and external disturbance.

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Authors and Affiliations

  1. Department of Automation and Instrumentation, Petroleum University of Technology, Tehran, Iran

    Ali Fadaei

  2. Tehran Faculty of Petroleum, Petroleum University of Technology, Tehran, Iran

    Karim Salahshoor

Authors
  1. Ali Fadaei
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  2. Karim Salahshoor
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Correspondence to Ali Fadaei.

Additional information

Recommended by Editorial Board member Jietae Lee under the direction of Editor Young Il Lee.

Ali Fadaei received his B.S. degree in Electrical Engineering from University of Tehran, Tehran, Iran, in 2003 and his M.S. degree in Automation and Instrumentation from Petroleum University of Technology, Iran, in 2007. His research interests include auto-tuning schemes, model predictive control, system identification, adaptive control, networked control systems, interoperability, and fuzzy control.

Karim Salahshoor is a faculty member of the Automation and Instrumentation Department, Petroleum University of Technology, Iran. He received his B.S. degree from AIT, Abadan, Iran, and his M.S. and Ph.D. degrees from the UMIST, Manchester, England. His current research interests include industrial networking for process instrumentation and control, and developments and applications of advanced process monitoring and control systems.

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Fadaei, A., Salahshoor, K. A novel real-time fuzzy adaptive auto-tuning scheme for cascade PID controllers. Int. J. Control Autom. Syst. 9, 823–833 (2011). https://doi.org/10.1007/s12555-011-0502-y

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  • DOI: https://doi.org/10.1007/s12555-011-0502-y

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