DocumentCode
728449
Title
Robust FOPI and FOPID controller design for FFOPDT plants in embedded control applications using frequency-domain analysis
Author
Tepljakov, Aleksei ; Petlenkov, Eduard ; Belikov, Juri
Author_Institution
Dept. of Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia
fYear
2015
fDate
1-3 July 2015
Firstpage
3868
Lastpage
3873
Abstract
In this paper, we address the problem of fractional-order PID (FOPID) controller design for a fractional first-order plus dead time (FFOPDT) plant, the characteristics of which are studied. All the equations involved in the computation of control system robustness criteria in the frequency domain are derived, and an algorithm based on the Newton-Raphson method is proposed to obtain the solutions thereof. The performance criteria are considered as the basis for optimizing the parameters of the FOPID controller. The initial gains of the controller are obtained using well established conventional PID tuning rules. For optimization a simple parameter sweep method is used, as well as the Nelder-Mead simplex search method. An illustrative example of the controller design procedure is provided. The results are partially carried over to a FOPID controller prototype. The results of this work can be applied to embedded control and are useful in solving automatic controller tuning problems.
Keywords
Newton-Raphson method; control system synthesis; embedded systems; frequency-domain analysis; optimisation; robust control; search problems; three-term control; FFOPDT plants; Nelder-Mead simplex search method; Newton-Raphson method; PID tuning rules; automatic controller tuning problems; control system robustness criteria; embedded control applications; fractional first-order plus dead time plant; fractional-order PID controller design; frequency-domain analysis; parameter optimization; parameter sweep method; performance criteria; robust FOPI controller design; robust FOPID controller design; Computational modeling; Control systems; Frequency-domain analysis; Mathematical model; Newton method; Optimization; Tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2015
Conference_Location
Chicago, IL
Print_ISBN
978-1-4799-8685-9
Type
conf
DOI
10.1109/ACC.2015.7171933
Filename
7171933
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