Case Study: Optimization of PI Controller Gains with Anti-Windup Applied on a Level System
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023. ed. / Daniel Drotos; Rabab Benotsmane; Attila Karoly Varga; Attila Trohak; Jozsef Vasarhelyi. Institute of Electrical and Electronics Engineers Inc., 2023. p. 4-9 (Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Case Study
T2 - 24th International Carpathian Control Conference
AU - De Almeida Machareth, Gustavo
AU - Dos Santos, Murillo Ferreira
AU - Da Silva, Josue Lima
AU - Franklin, Lucca Ribeiro
AU - Mercorelli, Paolo
N1 - Conference code: 24
PY - 2023/6/12
Y1 - 2023/6/12
N2 - It is known that Proportional-Integral-Derivative (PID) controllers and their variations are widely used to control industrial processes, both in single-variable or in multivariable systems, which leads to its use in about 95% of industrial plants. In this context, this work presents the study of Proportional-Integral (PI) controller optimization gains with the anti-windup technique, applied to a level system from PD3 SMAR didactic plant, through Bee Swarm Optimization (BSO). For this, initially, the system open-loop response was obtained, under the application of first-order identification methods. Next, the PI controller was tuned using the BSO optimization algorithm, being compared with the Haalman classical tuning method, only for comparative analysis. For the results, of both controllers, a 40% Set-Point (SP) was performed using the Integral of the Squared Error (ISE) and Integral of the Quadratic Error multiplied by time (ITSE) performance indices for the control loop assessments. It was possible to observe that the PI controller tuned by the BSO algorithm obtained better performance. Therefore, it is worth highlighting how beneficial the optimization algorithm was compared to classical control techniques.
AB - It is known that Proportional-Integral-Derivative (PID) controllers and their variations are widely used to control industrial processes, both in single-variable or in multivariable systems, which leads to its use in about 95% of industrial plants. In this context, this work presents the study of Proportional-Integral (PI) controller optimization gains with the anti-windup technique, applied to a level system from PD3 SMAR didactic plant, through Bee Swarm Optimization (BSO). For this, initially, the system open-loop response was obtained, under the application of first-order identification methods. Next, the PI controller was tuned using the BSO optimization algorithm, being compared with the Haalman classical tuning method, only for comparative analysis. For the results, of both controllers, a 40% Set-Point (SP) was performed using the Integral of the Squared Error (ISE) and Integral of the Quadratic Error multiplied by time (ITSE) performance indices for the control loop assessments. It was possible to observe that the PI controller tuned by the BSO algorithm obtained better performance. Therefore, it is worth highlighting how beneficial the optimization algorithm was compared to classical control techniques.
KW - Anti Wind-up
KW - Bee Swarm Optimization
KW - PI controller
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85166485349&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/51d9adec-e27b-3a75-abdd-7e32887e3a88/
U2 - 10.1109/ICCC57093.2023.10178907
DO - 10.1109/ICCC57093.2023.10178907
M3 - Article in conference proceedings
AN - SCOPUS:85166485349
SN - 979-8-3503-1023-8
T3 - Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023
SP - 4
EP - 9
BT - Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023
A2 - Drotos, Daniel
A2 - Benotsmane, Rabab
A2 - Varga, Attila Karoly
A2 - Trohak, Attila
A2 - Vasarhelyi, Jozsef
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 May 2023 through 14 May 2023
ER -