پیوندهای مفید
آمار
| تعداد نشریات | 7 |
| تعداد شماره‌ها | 399 |
| تعداد مقالات | 5,389 |
| تعداد مشاهده مقاله | 5,288,197 |
| تعداد دریافت فایل اصل مقاله | 4,882,937 |
Adaptive Tuning of Model Predictive Control Parameters Based on Analytical Results | ||
| AUT Journal of Modeling and Simulation | ||
| مقاله 1، دوره 50، شماره 2، اسفند 2018، صفحه 109-116 اصل مقاله (919.07 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/miscj.2017.12143.5005 | ||
| نویسندگان | ||
| Tahereh Gholaminejad* 1؛ A. Khaki-Sedigh1؛ P. Bagheri2 | ||
| 1Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran | ||
| 2Control Engineering Department Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran | ||
| چکیده | ||
| In dealing with model predictive controllers (MPC), controller tuning is a key designing step. Various tuning methods are proposed in the literature which can be categorized as heuristic, numerical and analytical methods. Among the available tuning methods, analytical approaches are more interesting and useful. This paper is based on a proposed analytical MPC tuning approach for plants which can be approximated by first-order plus dead-time models. The performance of such methods fails to deal with unknown or time-varying parameter plants. To overcome this problem, adaptive MPC tuning strategies are practical alternatives. The adaptive MPC tuning approach proposed in this paper is based on on-line identification and analytical tuning formulas. Simulation results are used to show the effectiveness of the proposed methodology. Also, a comparison of the proposed adaptive tuning method with a well-known online tuning method is presented briefly which shows the superiority of the proposed adaptive tuning method. | ||
| کلیدواژه‌ها | ||
| Adaptive model predictive control؛ analytical tuning؛ first order plus dead time models | ||
| مراجع | ||
|
[1] M.L. Darby, M. Nikolaou, MPC: Current practice and challenges, 20(4) (2012) 328-342. [2] D.Q. Mayne, Model predictive control: Recent developments and future promise, 50(12) (2014) 2967-2986. [3] J.L. Garriga, M. Soroush, Model predictive control tuning methods: A review, 49(8) (2010) 3505-3515. [4] P. Bagheri, A. Khaki-Sedigh, Tuning of dynamic matrix controller for FOPDT models using analysis of variance, 44(1) (2011) 12319-12324. [5] P. Bagheri, A. Khaki-Sedigh, Robust tuning of dynamic matrix controllers for first order plus dead time models, 39(22) (2015) 7017-7031. [6] P. Bagheri, A. Khaki-Sedigh, K.J.I.C.T. Sedigh, Applications, Analytical approach to tuning of model predictive control for first-order plus dead time models, 7(14) (2013) 1806-1817. [7] P. Bagheri, A. Khaki-Sedigh, Closed form tuning equations for model predictive control of first-order plus fractional dead time models, 13(1) (2015) 73-80. [8] P. Bagheri, A. Khaki-Sedigh, An analytical tuning approach to multivariable model predictive controllers, 24(12) (2014) 41-54. [9] A. Al-Ghazzawi, E. Ali, A. Nouh, E. Zafiriou, On-line tuning strategy for model predictive controllers, 11(3) (2001) 265-284. [10] E. Ali, A. Al.Ghazzawi, On.line tuning of model predictive controllers using fuzzy logic, 81(5) (2003) 1041-1051. [11] E. Ali, Heuristic on-line tuning for nonlinear model predictive controllers using fuzzy logic, 13(5) (2003) 383-396. [12] J. Van der Lee, W. Svrcek, B. Young, A tuning algorithm for model predictive controllers based on genetic algorithms and fuzzy decision making, 47(1) (2008) 53-59. [13] G. Valencia-Palomo, J. Rossiter, Programmable logic controller implementation of an auto-tuned predictive control based on minimal plant information, 50(1) (2011) 92-100. [14] Q.N. Tran, J. Scholten, L. Ozkan, A. Backx, A model-free approach for auto-tuning of model predictive control, 47(3) (2014) 2189-2194. [15] S. Boyd, L. El-Ghaoui, E. Feron, V. Balakrishnan, Linear matrix inequalities in system and control theory, 85(4) (1997) 698-699. [16] C. Lynch, G. Dumont, Control loop performance monitoring, 4(2) (1996) 185-192. [17] M.A. Henson, D.E. Seborg, Adaptive nonlinear control of a pH neutralization process, 2(3) (1994) 169-182. [18] C. Bordons, E.F. Camacho, A generalized predictive controller for a wide class of industrial processes, 6(3) (1998) 372-387. [19] R. Shridhar, D.J. Cooper, A tuning strategy for unconstrained SISO model predictive control, 36(3) (1997) 729-746. | ||
|
آمار تعداد مشاهده مقاله: 19,571 تعداد دریافت فایل اصل مقاله: 1,238 |
||