<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Department of Electronics and Communication Engineering

Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science - Pilani

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This paper studies an improved fractional order parallel control structure (FOPCS) for enhancing the robustness in an industrial control loop having a first...

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

Pubblicato online: 02 mar 2019

Pagine: 16 - 24

Ricevuto: 23 nov 2018

DOI: https://doi.org/10.2478/jee-2019-0002

Parole chiave
fractional order calculus, meta-heuristic optimization algorithms, parallel control structure, PID controller, robustness, tuning

© 2019 Vishal Goyal et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Pubblicato online: 02 mar 2019

Pagine: 16 - 24

Ricevuto: 23 nov 2018

DOI: https://doi.org/10.2478/jee-2019-0002

Parole chiavefractional order calculus, meta-heuristic optimization algorithms, parallel control structure, PID controller, robustness, tuning

© 2019 Vishal Goyal et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
fractional order calculus, meta-heuristic optimization algorithms, parallel control structure, PID controller, robustness, tuning