TY - GEN
T1 - Performance demands based servo motor speed control
T2 - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020
AU - Peng, Chao Chung
AU - Lee, Chia Ling
N1 - Funding Information:
This work was supported by the Ministry of Science and Technology under Grant No. MOST 107-2221-E-006-114-MY3ġ and MOST 108-2923-E-006-005-MY3.
Publisher Copyright:
© 2020 IEEE
PY - 2020/11
Y1 - 2020/11
N2 - This paper presents an analytic Proportional-Integral (PI) controller design for a servo motor speed control under given control performance demands. When designing the classical linear controllers, standard 2nd order systems are often considered to simplify the design problems. Realistically, however, most of the systems are usually non-standard 2nd order systems and assuming them as standard 2nd order systems could sometimes cause designing mismatches. To solve this issue, this study derived analytical PI controller formulas, where the control gains were determined by applying Genetic Algorithm (GA) with the aim of approaching the desired performances including overshoot and settling time as close as possible. A numerical simulation is also performed to attest the results. The main contributions of this paper include the accuracy of achieving the control performance demands by taking the exact analytical solutions, eliminating the model discrepancies between the exact closed-loop model and the standard 2nd order system, and the proposed method can be extended to a wide variety of process control topics.
AB - This paper presents an analytic Proportional-Integral (PI) controller design for a servo motor speed control under given control performance demands. When designing the classical linear controllers, standard 2nd order systems are often considered to simplify the design problems. Realistically, however, most of the systems are usually non-standard 2nd order systems and assuming them as standard 2nd order systems could sometimes cause designing mismatches. To solve this issue, this study derived analytical PI controller formulas, where the control gains were determined by applying Genetic Algorithm (GA) with the aim of approaching the desired performances including overshoot and settling time as close as possible. A numerical simulation is also performed to attest the results. The main contributions of this paper include the accuracy of achieving the control performance demands by taking the exact analytical solutions, eliminating the model discrepancies between the exact closed-loop model and the standard 2nd order system, and the proposed method can be extended to a wide variety of process control topics.
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U2 - 10.1109/IS3C50286.2020.00128
DO - 10.1109/IS3C50286.2020.00128
M3 - Conference contribution
AN - SCOPUS:85104858261
T3 - Proceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020
SP - 469
EP - 472
BT - Proceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 November 2020 through 16 November 2020
ER -