Reconfigurable Control System for Plants with Variable Structure
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Reconfigurable Control System for Plants with Variable Structure. / Fuhrhop, Carlos.
2016 20th International Conference on System Theory, Control and Computing (ICSTCC): Joint Conference SINTES 20, SACCS 16, SIMSIS 20 . ed. / Emil Petre; Marius Brezovan. IEEE - Institute of Electrical and Electronics Engineers Inc., 2016. p. 41-46 7790638 (2016 20th International Conference on System Theory, Control and Computing, ICSTCC 2016 - Joint Conference of SINTES 20, SACCS 16, SIMSIS 20 - Proceedings).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Reconfigurable Control System for Plants with Variable Structure
AU - Fuhrhop, Carlos
N1 - Conference code: 20
PY - 2016/12/16
Y1 - 2016/12/16
N2 - Define intelligent control is not an easy task, in the literature we find different definitions of it, which depend on the area of application. Here we will define or view the intelligent control in the context of the control of complex systems. In this context, a control is intelligent when it has the ability to operate and act to control in the best way a complex system which changed suddenly and significantly, due to external and internal disturbances. This work presents the reconfigurable control method based on adaptive and conventional control combined with the 'multiples models, switching and tuning' (MMST), which can identify the model which best represent the complex system. The approach was first introduced by Narendra and Balakrishnan. Here we propose two different control strategies, one is based on conventional control using MMST and the second is based on the combination of adaptive and conventional control using MMST, to control a complex system which varies its structure and parameters. The proof of the Lyapunov stability is not part of this work, for a proof see the work of Narendra and Balakrishnan. We assume that the models of the variable plant were identified before. In the simulation we used it to represent the dynamic change of the plant. The aim of the work is to investigate if the reconfigurable control can act in an intelligent way and control in a stable manner the time variable structure system. We present some simulations results to show the efficacy of the proposed control strategies.
AB - Define intelligent control is not an easy task, in the literature we find different definitions of it, which depend on the area of application. Here we will define or view the intelligent control in the context of the control of complex systems. In this context, a control is intelligent when it has the ability to operate and act to control in the best way a complex system which changed suddenly and significantly, due to external and internal disturbances. This work presents the reconfigurable control method based on adaptive and conventional control combined with the 'multiples models, switching and tuning' (MMST), which can identify the model which best represent the complex system. The approach was first introduced by Narendra and Balakrishnan. Here we propose two different control strategies, one is based on conventional control using MMST and the second is based on the combination of adaptive and conventional control using MMST, to control a complex system which varies its structure and parameters. The proof of the Lyapunov stability is not part of this work, for a proof see the work of Narendra and Balakrishnan. We assume that the models of the variable plant were identified before. In the simulation we used it to represent the dynamic change of the plant. The aim of the work is to investigate if the reconfigurable control can act in an intelligent way and control in a stable manner the time variable structure system. We present some simulations results to show the efficacy of the proposed control strategies.
KW - Engineering
KW - Regelungstechnik
KW - Adaptive Control
KW - Control theory
KW - Adaptive Control
KW - Multiple models
KW - Reconfigurable Control
KW - switching and Tuning
UR - http://www.scopus.com/inward/record.url?scp=85010451155&partnerID=8YFLogxK
U2 - 10.1109/ICSTCC.2016.7790638
DO - 10.1109/ICSTCC.2016.7790638
M3 - Article in conference proceedings
SN - 978-1-5090-2720-0
T3 - 2016 20th International Conference on System Theory, Control and Computing, ICSTCC 2016 - Joint Conference of SINTES 20, SACCS 16, SIMSIS 20 - Proceedings
SP - 41
EP - 46
BT - 2016 20th International Conference on System Theory, Control and Computing (ICSTCC)
A2 - Petre, Emil
A2 - Brezovan, Marius
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th International Conference on System Theory, Control and Computing Joint Conference SINTES 20, SACCS 16, SIMSIS 20
Y2 - 13 October 2016 through 15 October 2016
ER -