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A review of adaptive tuning of PID-controller: Optimization techniques and applications | ||
International Journal of Nonlinear Analysis and Applications | ||
مقاله 3، دوره 15، شماره 2، اردیبهشت 2024، صفحه 29-37 اصل مقاله (586.88 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.21415.4024 | ||
نویسندگان | ||
Israa Ahmed Abbas* ؛ Muntadher Khamees Mustafa | ||
Department of computer science, College of Science, University of Diyala, Baqubah, Iraq | ||
تاریخ دریافت: 22 دی 1401، تاریخ بازنگری: 15 بهمن 1401، تاریخ پذیرش: 16 اسفند 1401 | ||
چکیده | ||
The PID controller's well-established advantages have led to its widespread application in practically all industrial operations. The effectiveness of the controller has a major impact on the overall performance of the system, making tuning an essential part of the system's operation, which made this a hot topic for academics to dig into for some time. This paper provides an overview of both contemporary and old PID tuning methods. Techniques can be categorized into two major groups, namely: Traditional and optimization tuning methods are two examples of tuning techniques. A comparison between some of the different methods has as well as being made available. The primary objective of this paper is to give thorough for PID professional controllers. | ||
کلیدواژهها | ||
DC Motor؛ PID Controller؛ Classical techniques؛ Optimization Techniques | ||
مراجع | ||
[1] A. G. Hussien, M. Amin, M. Wang, G. Liang, A. Alsanad, A. Gumaei and H. Chen, Crow search algorithm: Theory, recent advances, and applications, IEEE Access 8 (2020), 173548–173565. [2] A. Askarzadeh, A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm, Comput. Struct. 169 (2016), 1–12. [3] H.O. Bansal, R. Sharma and P.R. Shreeraman, PID controller tuning techniques: a review, J. Control Eng. Technol. 2 (2012), 168–176. [4] B.W. Bequette, Process Control: Modeling, Design, and Simulation, Prentice Hall Professional, 2003. [5] Z. Bingul and O. Karahan, Comparison of PID and FOPID controllers tuned by PSO and ABC algorithms for unstable and integrating systems with time delay, Optim. Control Appl. Meth. 39 (2018), no. 4, 1431–1450. [6] R.P. Borase, D.K. Maghade, S.Y. Sondkar and S.N. Pawar, A review of PID control, tuning methods and applications, Int. J. Dyn. Control 9 (2020), 818–827. [7] M.E. El-Telbany, Tuning PID controller for DC motor: an artificial bees optimization approach, Int. J. Comput. Appl. 77 (2013), no. 15, 18–21. [8] T. George and V. Ganesan, Optimal tuning of PID controller in time delay system: a review on various optimization techniques, Chem. Prod. Process Model. 17 (2022), no. 1, 1–28. [9] J. Han, P. Wang and X. Yang, Tuning of PID controller based on fruit fly optimization algorithm, IEEE Int. Conf. Mechatronics Autom. ICMA, 2012, pp. 409–413. [10] A. Kandel, R. Pacheco, A. Martins and S. Khator, The foundations of rule-based computations in fuzzy models, W. Pedrycz, (eds), Fuzzy Model. Int. Ser. Intell. Technol. Springer, Boston, MA 7 (1996), 231–263. [11] J.S. Kim, J.H. Kim, J. Park, S. Park, W. Choe and H. Heo, Auto tuning PID controller based on improved genetic algorithm for reverse osmosis plant, World Acad. Sci. Eng. Technol. 47 (2008), no. 2, 532–537. [12] S.M.G. Kumar, R. Jain, N. Anantharaman, V. Dharmalingam and K.M.M.S. Begum, Genetic algorithm based PID controller tuning for a model bioreactor, Indian Chem. Eng. 50 (2008), no. 3, 214–226. [13] Microstar Laboratories, Inc. Ziegler-Nichols tuning rules for PID, https://www.mstarlabs.com/control/znrule.html, 2023. [14] S.K. Mosavi, E. Jalalian and F.S. Gharahchopog, A comprehensive survey of grey wolf optimizer algorithm and its application, Int. J. Adv. Robot. Expert Syst. 1 (2023), no. 6, 23–45. [15] A. Myrtellari, P. Marango and M. Gjonaj, Analysis and performance of linear quadratic regulator and PSO algorithm in optimal control of DC motor, Int. J. Latest Res. Eng. Technol. 2 (2016), no. 4. [16] C.A. Neto and M. Embirucu, Tuning of PID controllers: an optimization-based method, IFAC Proc. 33 (2000), no. 4, 367–372. [17] S.S. Rao, Engineering optimization: theory and practice, John Wiley & Sons, 2019. [18] M.A. Sen and M. Kalyoncu, Grey wolf optimizer based tuning of a hybrid LQR-PID controller for foot trajectory control of a quadruped robot, Gazi Univ. J. Sci. 32 (2019), no. 2, 674–684. [19] P. Srinivas, K. Lakshmi and V. Kumar, A comparison of PID controller tuning methods for three tank level process, Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 3 (2014), no. 1, 6810–6820. [20] V. Srivastava and S. Srivastava, A comprehensive review of optimization algorithms for nonlinear systems, In: R. Srivastava and A.K.S. Pundir (eds.), New Front. Commun. Intell. Syst. (2021), 535–546. [21] N. Tandan and K.K. Swarnkar, PID controller optimization by soft computing techniques-a review, Int. J. Hybrid Inf. Technol. 8 (2015), no. 7, 357–362. [22] M.J. Willis, Proportional-integral-derivative control, Dept. Chem. Process Eng. Univ. Newcastle, 1999. [23] Y. Zhang, L. Zhang and Z. Dong, An MEA-tuning method for design of the PID controller, Math. Probl. Eng. 2019 (2019). | ||
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