A novel real-time fuzzy adaptive auto-tuning scheme for cascade PID controllers |
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Authors: | Ali Fadaei Karim Salahshoor |
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Affiliation: | 1.Department of Automation and Instrumentation,Petroleum University of Technology,Tehran,Iran;2.Tehran Faculty of Petroleum,Petroleum University of Technology,Tehran,Iran |
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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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