پیوندهای مفید
آمار
| تعداد نشریات | 7 |
| تعداد شماره‌ها | 399 |
| تعداد مقالات | 5,389 |
| تعداد مشاهده مقاله | 5,288,208 |
| تعداد دریافت فایل اصل مقاله | 4,882,946 |
A Variable Structure Observer Based Control Design for a Class of Large scale MIMO Nonlinear Systems | ||
| AUT Journal of Modeling and Simulation | ||
| مقاله 5، دوره 48، شماره 1، شهریور 2016، صفحه 47-56 اصل مقاله (251.43 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/miscj.2016.637 | ||
| نویسندگان | ||
| reza ghasemi* 1؛ mohammd bagher menhaj2 | ||
| 1Department of Electrical Engineering, University of Qom, Qom, Iran | ||
| 2Department of Electrical Engineering, AmirKabir University of Technology, Tehran, Iran | ||
| چکیده | ||
| This paper fully discusses how to design an observer based decentralized fuzzy adaptive controller for a class of large scale multivariable non-canonical nonlinear systems with unknown functions of subsystems’ states. On-line tuning mechanisms to adjust both the parameters of the direct adaptive controller and observer that guarantee the ultimately boundedness of both the tracking error and that of the observer error are derived through Lyapunov stability analysis. The most important merits of the proposed controller as well as the observer are their robustness against external disturbances. The observer proposed in the paper is designed based on a reconfiguration of the system in which the dynamics of the model reference is taken into account. It should be emphasized that compared to the other methods recently cited in the literature, this paper designs proper controllers for a class of nonlinear large scale MIMO systems in which merely the structure of the systems is known. The simulation results easily approve the remarkable capability of the proposed method. | ||
| کلیدواژه‌ها | ||
| Adaptive control؛ Large Scale System؛ nonlinear Observer؛ stability؛ Fuzzy system | ||
| عنوان مقاله [English] | ||
| A Variable Structure Observer Based Control Design for a Class of Large scale MIMO Nonlinear Systems | ||
| چکیده [English] | ||
| This paper fully discusses how to design an observer based decentralized fuzzy adaptive controller for a class of large scale multivariable non-canonical nonlinear systems with unknown functions of subsystems’ states. On-line tuning mechanisms to adjust both the parameters of the direct adaptive controller and observer that guarantee the ultimately boundedness of both the tracking error and that of the observer error are derived through Lyapunov stability analysis. The most important merits of the proposed controller as well as the observer are their robustness against external disturbances. The observer proposed in the paper is designed based on a reconfiguration of the system in which the dynamics of the model reference is taken into account. It should be emphasized that compared to the other methods recently cited in the literature, this paper designs proper controllers for a class of nonlinear large scale MIMO systems in which merely the structure of the systems is known. The simulation results easily approve the remarkable capability of the proposed method. | ||
| کلیدواژه‌ها [English] | ||
| کنترل تطبیقی, سیستمهای ابعاد وسیع, رویتگر غیر خطی, پایداری, سیستمهای فازی | ||
| مراجع | ||
|
[1] G. Feng, “An Approach to Adaptive Control of Fuzzy Dynamic Systems,” IEEE Transactions on Fuzzy Systems, Vol. 10, No. 2, pp. 268-275, 2002. [2] Y. C. Hsu, G. Chen, S. Tong and H. X. Li,“Integrated fuzzy modeling and adaptive control for nonlinear systems,” Elsevier Science,Information Sciences 153, pp. 217-236, 2003. [3] C. C. Cheng and S. H. Chien, “Adaptive sliding mode controller design based on t–s fuzzy system models,” Elsevier Science, Automatica 42, pp.1005-1010, 2006. [4] Tong, S., Tang, J. and Wang, T., “Fuzzy adaptive control of multivariable nonlinear systems,”Elsevier Science, Fuzzy Sets and Systems 111, pp.153-167, 2000. [5] S. Labiod, M. S. Boucherit and T. M. Guerra,“Adaptive fuzzy control of a class of mimo nonlinear systems,” Elsevier Science, Fuzzy Sets and Systems 151, pp. 59–77, 2005. [6] Y. Tang, N. Zhang and Y. Li, “Stable fuzzy adaptive control for a class of nonlinear systems,”Elsevier Science, Fuzzy Sets and Systems 104, pp.279-288, 1999. [7] L. Zhang, “Stable fuzzy adaptive control based on optimal fuzzy reasoning,” IEEE, Proceedings of the 6th International Conference on Intelligent Systems Design and Applications (ISDA'06),2006. [8] T. Yiqian, W. Jianhui, G. Shusheng and Q.Fengying, “Fuzzy adaptive output feedback control for nonlinear mimo systems based on observer,”Proceedings of the 5th World Congress on Intelligent Control and utomation Hangzhou, P.R. China, pp. 506-510, 2004. [9] A. Hamzaoui, N. Essounbouli, K. Benmahammed and J. Zaytoon, “State observer based robust adaptive fuzzy controller for nonlinear uncertain and perturbed systems,” IEEE Transactions on Systems, Man and Cybernetics-Part B, Vol. 34,No. 2, 2004. [10] S. Tong, H. X. Li and G. Chen, “Adaptive fuzzy decentralized control for a class of large-scale nonlinear systems,” IEEE Transactions on Systems, Man and Cybernetics-Part B, Vol. 34,No. 1, 2004. [11] D. Vélez-Díaz and Y. Tang, “Adaptive robust fuzzy control of nonlinear systems,” IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, Vol. 34, No. 3, 2004. [12] R. J. Wai, M. Kuo and J. D. Lee, “Cascade direct adaptive fuzzy control design for a nonlinear twoaxis inverted-pendulum servomechanism,” IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, Vol. 38, No. 2, 2008. [13] Y. J. Liu and W. Wang, “Adaptive fuzzy control for a class of uncertain non-affine nonlinear systems,” Elsevier Science, Information Sciences pp. 1-17, 2007. [14] R. Ghasemi, M. B. Menhaj and A. Afshar, “A decentralized stable fuzzy adaptive controller for large scale nonlinear systems,” Journal of Applied Science, Vol. 9, Issue 5, pp. 892-900, 2009. [15] R. Ghasemi, M. B. Menhaj and A. Afshar, “A new decentralized fuzzy model reference adaptive controller for a class of large-scale non-affine nonlinear systems,” European Journal of Control,Vol. 5, pp: 1–11, 2009. [16] Sui S., Li Y. and Tong S., “Adaptive fuzzy control design and applications of uncertain stochastic nonlinear systems with input saturation,”Neurocomputing, Vol. 156, pp: 42-51, 2015. [17] Li Y., Tong S. and Li T., “Adaptive fuzzy backstepping control design for a class of purefeedback switched nonlinear systems,” Nonlinear Analysis: Hybrid Systems, Vol. 16, pp. 72-80,2015. [18] Sui S., Tong S. and Li Y., “Observer-based fuzzy adaptive prescribed performance tracking control for nonlinear stochastic systems with input saturation,” Neurocomputing, Vol. 158, pp. 100-108, 2015. [19] Zhang T. and Xia X., “Decentralized adaptive fuzzy output feedback control of stochastic nonlinear large-scale systems with dynamic uncertainties,” Information Sciences, Vol. 315, pp.17-38, 2015. [20] Wang T., Zhang Y., Qiu J. and Gao H., “Adaptive fuzzy backstepping control for a class of nonlinear systems with sampled and delayed measurements,” IEEE Transactions on Fuzzy Systems, Vol. 23,Issue 2, pp. 302-312, 2015. [21] Li Y., Tong S. and Li T., “Adaptive fuzzy output feedback dynamic surface control of interconnected nonlinear pure-feedback systems,”IEEE Transactions on Cybernetics, Vol. 45, Issue 1, pp 138-149, 2015. [22] Li Y. and Tong S., “Adaptive fuzzy outputfeedback control of pure-feedback uncertain nonlinear systems with unknown dead zone,” IEEE Transactions on Fuzzy Systems, Vol. 22, Issue 5,pp. 1341-1347, 2014. [23] Tong S., China J., Li H. and Chen G., “Adaptive fuzzy decentralized control for a class of large scale nonlinear systems,” Systems, Man and Cybernatics, Part B: Cybernatics, IEEE Transactions on, Vol. 34, Issue 1, pp. 770-775,2004. [24] W. Shi, “Observer-based indirect adaptive fuzzy control for SISO nonlinear systems with unknown gain sign,” Neurocomputing, Vol. 171, pp. 1598-1605, 2016. [25] J. Hua, Y. Li and K. Zhang, “Observer-based adaptive fuzzy control of a class of nonlinear systems with unknown symmetric nonlinear deadzone input,” Applied Mathematical Modelling,Accepted Manuscript, Available online 1 Dec.2015. [26] W. Shi, “Observer-based fuzzy adaptive control for multi-input multi-output nonlinear systems with a nonsymmetric control gain matrix and unknown control direction,” Fuzzy Sets and Systems, Vol. 263, pp. 1-26, 2015. [27] C. Kuo, T. Lin and C. Chen “Direct adaptive fuzzy tracking control with observer and supervisory controller for nonlinear MIMO time delay systems,” International Conference on Fuzzy Systems (FUZZ-IEEE), Beijing, China, pp. 1891-1897, 2014. [28] B. Chen, C. Lin, X. Liu and K. Liu, “Observer-Based Adaptive Fuzzy Control for a Class of Nonlinear Delayed Systems,” IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol.46, Issue 1, pp. 27-36, 2016.
| ||
|
آمار تعداد مشاهده مقاله: 1,105 تعداد دریافت فایل اصل مقاله: 873 |
||