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A fractional order parallel control structure tuned with meta-heuristic optimization algorithms for enhanced robustness

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dc.contributor.author Mishra, Puneet
dc.date.accessioned 2023-03-21T05:54:01Z
dc.date.available 2023-03-21T05:54:01Z
dc.date.issued 2019-03
dc.identifier.uri https://sciendo.com/article/10.2478/jee-2019-0002
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9864
dc.description.abstract This paper studies an improved fractional order parallel control structure (FOPCS) for enhancing the robustness in anindustrial control loop having a first order process with dead time along with its tuning aspects. Since inclusion of fractionalorder calculus also increase the number of parameters to be determined for a particular control loops, tuning becomes anessential task. Four different tuning methods are considered to optimize the gains of parallel control structure (PCS) andFOPCS. Integral of time weighted absolute error for servo and regulatory problems along with overshoot value have beenconsidered for performance evaluation. Extensive simulation studies including change in setpoint and mismatch in process-model parameters have been carried out. On the basis of these studies, it was observed that FOPCS tuned by backtrackingsearch algorithm, outperformed all other controllers in terms of considered performance measures en_US
dc.language.iso en en_US
dc.publisher Sciendo en_US
dc.subject EEE en_US
dc.subject Fractional-order calculus en_US
dc.subject Meta-heuristic optimization algorithms en_US
dc.subject Parallel control structure en_US
dc.subject PID Controller en_US
dc.title A fractional order parallel control structure tuned with meta-heuristic optimization algorithms for enhanced robustness en_US
dc.type Article en_US


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