A fractional order parallel control structure tuned with meta-heuristic optimization algorithms for enhanced robustness
This paper studies an improved fractional order parallel control structure (FOPCS) for enhancing the robustness in an industrial control loop having a first order process with dead time along with its tuning aspects. Since inclusion of fractional order calculus also increase the number of parameters...
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| Vydáno v: | Journal of Electrical Engineering Ročník 70; číslo 1; s. 16 - 24 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Bratislava
Sciendo
01.02.2019
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |
| Témata: | |
| ISSN: | 1339-309X, 1335-3632, 1339-309X |
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| Abstract | This paper studies an improved fractional order parallel control structure (FOPCS) for enhancing the robustness in an industrial control loop having a first order process with dead time along with its tuning aspects. Since inclusion of fractional order calculus also increase the number of parameters to be determined for a particular control loops, tuning becomes an essential task. Four different tuning methods are considered to optimize the gains of parallel control structure (PCS) and FOPCS. Integral of time weighted absolute error for servo and regulatory problems along with overshoot value have been considered for performance evaluation. Extensive simulation studies including change in setpoint and mismatch in processmodel parameters have been carried out. On the basis of these studies, it was observed that FOPCS tuned by backtracking search algorithm, outperformed all other controllers in terms of considered performance measures. |
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| AbstractList | This paper studies an improved fractional order parallel control structure (FOPCS) for enhancing the robustness in an industrial control loop having a first order process with dead time along with its tuning aspects. Since inclusion of fractional order calculus also increase the number of parameters to be determined for a particular control loops, tuning becomes an essential task. Four different tuning methods are considered to optimize the gains of parallel control structure (PCS) and FOPCS. Integral of time weighted absolute error for servo and regulatory problems along with overshoot value have been considered for performance evaluation. Extensive simulation studies including change in setpoint and mismatch in processmodel parameters have been carried out. On the basis of these studies, it was observed that FOPCS tuned by backtracking search algorithm, outperformed all other controllers in terms of considered performance measures. |
| Author | Goyal, Vishal Mishra, Puneet Deolia, Vinay Kumar Shukla, Aasheesh Varshney, Aarti |
| Author_xml | – sequence: 1 givenname: Vishal surname: Goyal fullname: Goyal, Vishal organization: Department of Electronics and Communication Engineering, GLA University, Mathura, India – sequence: 2 givenname: Puneet surname: Mishra fullname: Mishra, Puneet organization: Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science - Pilani, Pilani campus, Jhunjhunu, Rajasthan, India – sequence: 3 givenname: Aasheesh surname: Shukla fullname: Shukla, Aasheesh email: aasheesh.shukla@gla.ac.in organization: Department of Electronics and Communication Engineering, GLA University, Mathura, India – sequence: 4 givenname: Vinay Kumar surname: Deolia fullname: Deolia, Vinay Kumar organization: Department of Electronics and Communication Engineering, GLA University, Mathura, India – sequence: 5 givenname: Aarti surname: Varshney fullname: Varshney, Aarti organization: Department of Electronics and Communication Engineering, GLA University, Mathura, India |
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| SubjectTerms | Calculus Computer simulation Controllers fractional order calculus Heuristic methods meta-heuristic optimization algorithms Optimization parallel control structure Parameters Performance evaluation PID controller Robust control Robustness Search algorithms Tuning |
| Title | A fractional order parallel control structure tuned with meta-heuristic optimization algorithms for enhanced robustness |
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