全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

A PID Tuning Approach for Inertial Systems Performance Optimization

DOI: 10.4236/am.2024.151008, PP. 96-107

Keywords: PID Control Algorithm, Inertial Systems, System Performance Optimization, Maximum Stability Degree

Full-Text   Cite this paper   Add to My Lib

Abstract:

In the practice of control the industrial processes, proportional-integral-derivative controller remains pivotal due to its simple structure and system performance-oriented tuning process. In this paper are presented two approaches for synthesis the proportional-integral-derivative controller to the models of objects with inertia, that offer the procedure of system performance optimization based on maximum stability degree criterion. The proposed algorithms of system performance optimization were elaborated for model of objects with inertia second and third order and offer simple analytical expressions for tuning the PID controller. Validation and verification are conducted through computer simulations using MATLAB, demonstrating successful performance optimization and showcasing the effectiveness PID controllers’ tuning. The proposed approaches contribute insights to the field of control, offering a pathway for optimizing the performance of second and third-order inertial systems through robust controller synthesis.

References

[1]  Levine, W.S. (2011) The Control Systems Handbook: Control System Advanced Methods. 2nd Ed. CRC Press, Boca Raton.
[2]  Preitl, Ş. and Precup, R.E. (2001) Introducere în ingineria reglării automate [Introduction to the automatic control system]. Editura Politehnica, Romania, Timişoara.
[3]  Opelit, V. (1960) Osnovi avtomaticeskogo upravlenia [Bases of the automatic control]. Gosenergoizdat, Moskva.
[4]  O’Dwyer, A. (2009) Handbook of PI and PID Controller Tuning Rules. 3rd Edition. Imperial College Press, London.
https://doi.org/10.1142/p575
[5]  Guo, L. (2020) Feedback and Uncertainty: Some Basic Problems and Results. Annual Reviews in Control, 49, 27-36.
https://doi.org/10.1016/j.arcontrol.2020.04.001
[6]  Basilio, J. and Matos, S.R. (2002). Design of PI and PID Controllers with Transient Performance Specification. Education, IEEE Transactions on 2002, 45, 364-370.
https://doi.org/10.1109/TE.2002.804399
[7]  Zhang, W., Dong, H., Xu, Y.L., Cao, D. and Li, X.P. (2021) Multiobjective Tuning and Performance Assessment of PID Using Teaching-Learning-Based Optimization. ACS Omega, 6, 31765-31774.
https://doi.org/10.1021/acsomega.1c04428
[8]  Hu, X., Tan, W. and Hou, G. (2023) Tuning of PID/PIDD2 Controllers for Second-Order Oscillatory Systems with Time Delays. Electronics, 12, 3168.
https://doi.org/10.3390/electronics12143168
[9]  Qu, S., He, T. and Zhu, G. (2023) Model-Assisted Online Optimization of Gain-Scheduled PID Control Using NSGA-II Iterative Genetic Algorithm. Applied Sciences, 13, 6444.
https://doi.org/10.3390/app13116444
[10]  Bucz, Š. and Kozáková, A. (2018) Advanced Methods of PID Controller Tuning for Specified Performance. PID Control for Industrial Processes, 74-119.
https://doi.org/10.5772/intechopen.76069
[11]  Garpinger, O., Hägglund, T. and Åström, K.J. (2014) Performance and Robustness Tradeoffs in PID Control. Journal of Process Control, 24, 568-577.
https://doi.org/10.1016/j.jprocont.2014.02.020
[12]  Jantzen, J. and Jakobsen, C. (2016) Turning PID Controller Tuning into a Simple Consideration of Settling Time. 2016 European Control Conference, Aalborg, 29 June-1 July 2016, 370-375.
https://doi.org/10.1109/ECC.2016.7810313
[13]  Killingsworth, N.J. and Krstic, M. (2006) PID Tuning Using Extremum Seeking: Online, Model-Free Performance Optimization. IEEE Control Systems Magazine, 26, 70-79.
https://doi.org/10.1109/MCS.2006.1580155
[14]  Concha, A., Varadharaj, E.K., Hernandez-Rivera, N.M. and Gadi, S.K. (2017) A Novel Implementation Technique for Genetic Algorithm Based Auto-Tuning PID Controller. 2007 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai, 21-22 September 2017, 1403-1408.
https://doi.org/10.1109/ICPCSI.2017.8391942
[15]  Lukas, V.A. (1990) Teoria avtomaticheskogo upravlenia [Automatic control theory]. 2nd Edition. Nedra, Moskva.
[16]  Schubladze, A.M. (1980) Sposobi sinteza system upravlenia maksimalinoi stepeni ustoichivosti [Methods of synthesis of control systems with maximum stability degree]. Avtomatika i telemehanika, 1, 28-37.
[17]  Cojuhari, I. (2021) Algorithm for Self-Tuning the PID Controller. Journal of Engineering Science, XXVIII, 63-73.
https://doi.org/10.52326/jes.utm.2021.28(4).06
[18]  Fiodorov, I., Izvoreanu, B., Cojuhari, I. and Baranov, S. (2016) Analytical Synthesis Algorithms of the Controllers for the Automatic Control Systems with Maximum Stability Degree and Imposed Performance. 2016 International Conference on Development and Application Systems (DAS), Suceava, 19-21 May 2016, 26-32.
https://doi.org/10.1109/DAAS.2016.7492543
[19]  Izvoreanu, B. (2010) The Iterative Algorithm of Tuning Controllers to the Model Object with Advanse Delay and Inertia Second Order. Proceedings of the 10th International Conference on Development and Application Systems DAS-2010, Romania, 27-28 May 2010, 111-115.
[20]  Cojuhari, I. (2023) Data-Driven Model Identification and Control of the Inertial Systems. Intelligent Control and Automation, 14, 1-18.
https://doi.org/10.4236/ica.2023.141001

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413