Design and stability analysis of adaptive fuzzy feedback controller for nonlinear systems by Takagi-Sugeno model-based adaptation scheme

Verfasser / Beitragende:
[Alok Kole]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/6(2015-06-01), 1747-1763
Format:
Artikel (online)
ID: 60546863X
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024 7 0 |a 10.1007/s00500-014-1362-1  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1362-1 
100 1 |a Kole  |D Alok  |u Department of Electrical Engineering, RCC Institute of Information Technology, Kolkata, W.B., India  |4 aut 
245 1 0 |a Design and stability analysis of adaptive fuzzy feedback controller for nonlinear systems by Takagi-Sugeno model-based adaptation scheme  |h [Elektronische Daten]  |c [Alok Kole] 
520 3 |a This paper focuses on the design of a real-time adaptive Takagi-Sugeno (T-S) fuzzy-based dynamic feedback tracking controller to deal with the metallic sphere position control of a magnetic levitation system (MLS), which is an intricate and highly nonlinear system involving plant uncertainties and external disturbances. The dynamic model of this MLS is first constructed based on the concepts of geometry and motion dynamics. The objective of this proposed control strategies is to design a real-time adaptive controller with the help of Takagi-Sugeno type fuzzy-based output feedback techniques and to directly ensure the asymptotic stability of the closed-loop controlled system by Lyapunov stability theorem without the requirement of strict constraints, detailed system information, and auxiliary compensated controllers. Proposed adaptive tracking controller is developed in such a way such that all the states and signals of the closed-loop system are bounded and the trajectory tracking error is as small as possible. In this paper, the controller consists of adaptive and robustifying components whose role is to nullify the effect of uncertainties and achieve a desired tracking performance. Here, separate adaptive control laws have been proposed to automatically take care of external disturbance and uncertainties by designing a two-port controller. The first part stabilizes the nominal plant; without modeling uncertainties. The second part of the controller is to reject modeling uncertainties. The good transient control performance and robustness to uncertainties of the proposed adaptive control scheme for the MLS is verified by numerical simulations and real-time experimental results. These results demonstrate that, the proposed adaptive controller yields favorable control performance superior to that of PID and and Neuro-fuzzy network controller in terms of overshoot, settling time, mean square error and steady-state error and also it can guarantee the system stability and parameter convergence with a pole placement algorithm. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Magnetic levitation system  |2 nationallicence 
690 7 |a Adaptive control  |2 nationallicence 
690 7 |a Lyapunov stability analysis  |2 nationallicence 
690 7 |a T-S fuzzy model  |2 nationallicence 
690 7 |a Feedback control  |2 nationallicence 
690 7 |a Estimation model  |2 nationallicence 
690 7 |a Parameter convergence  |2 nationallicence 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/6(2015-06-01), 1747-1763  |x 1432-7643  |q 19:6<1747  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1362-1  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00500-014-1362-1  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 100  |E 1-  |a Kole  |D Alok  |u Department of Electrical Engineering, RCC Institute of Information Technology, Kolkata, W.B., India  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/6(2015-06-01), 1747-1763  |x 1432-7643  |q 19:6<1747  |1 2015  |2 19  |o 500