A New Robust Fuzzy Controller for Nonlinear and Large Dead Time Systems
Summary :
This paper deals with new fuzzy controller for handling systems having large dead time and nonlinearities, via approximations of large rule fuzzy logic controller by simplest fuzzy controller (4 rules). The error between large rule fuzzy controller and simplest fuzzy controller are compensated by proposed compensating factors. These compensating factors are modified to handle large dead time and nonlinear systems. Features of proposed approximations are discussed. The concept of variation of nonlinearity factor of fuzzy controller is also discussed. Various processes from different literatures are utilized to demonstrate the proposed methodology. After doing many simulations it has been found that with proper tuning, overall system handles large dead time and nonlinearity which may be difficult by conventional methods. The processes are also simulated for load disturbances and change of operating point (set point) and it has been found that proposed scheme is robust for long dead times.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.10 pp.2527-2534
- Publication Date
- 2005/10/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.10.2527
- Type of Manuscript
- Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
- Category
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Rakesh K. ARYA, Ranjit MITRA, Vijay KUMAR, "A New Robust Fuzzy Controller for Nonlinear and Large Dead Time Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 10, pp. 2527-2534, October 2005, doi: 10.1093/ietfec/e88-a.10.2527.
Abstract: This paper deals with new fuzzy controller for handling systems having large dead time and nonlinearities, via approximations of large rule fuzzy logic controller by simplest fuzzy controller (4 rules). The error between large rule fuzzy controller and simplest fuzzy controller are compensated by proposed compensating factors. These compensating factors are modified to handle large dead time and nonlinear systems. Features of proposed approximations are discussed. The concept of variation of nonlinearity factor of fuzzy controller is also discussed. Various processes from different literatures are utilized to demonstrate the proposed methodology. After doing many simulations it has been found that with proper tuning, overall system handles large dead time and nonlinearity which may be difficult by conventional methods. The processes are also simulated for load disturbances and change of operating point (set point) and it has been found that proposed scheme is robust for long dead times.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.10.2527/_p
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@ARTICLE{e88-a_10_2527,
author={Rakesh K. ARYA, Ranjit MITRA, Vijay KUMAR, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A New Robust Fuzzy Controller for Nonlinear and Large Dead Time Systems},
year={2005},
volume={E88-A},
number={10},
pages={2527-2534},
abstract={This paper deals with new fuzzy controller for handling systems having large dead time and nonlinearities, via approximations of large rule fuzzy logic controller by simplest fuzzy controller (4 rules). The error between large rule fuzzy controller and simplest fuzzy controller are compensated by proposed compensating factors. These compensating factors are modified to handle large dead time and nonlinear systems. Features of proposed approximations are discussed. The concept of variation of nonlinearity factor of fuzzy controller is also discussed. Various processes from different literatures are utilized to demonstrate the proposed methodology. After doing many simulations it has been found that with proper tuning, overall system handles large dead time and nonlinearity which may be difficult by conventional methods. The processes are also simulated for load disturbances and change of operating point (set point) and it has been found that proposed scheme is robust for long dead times.},
keywords={},
doi={10.1093/ietfec/e88-a.10.2527},
ISSN={},
month={October},}
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TY - JOUR
TI - A New Robust Fuzzy Controller for Nonlinear and Large Dead Time Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2527
EP - 2534
AU - Rakesh K. ARYA
AU - Ranjit MITRA
AU - Vijay KUMAR
PY - 2005
DO - 10.1093/ietfec/e88-a.10.2527
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2005
AB - This paper deals with new fuzzy controller for handling systems having large dead time and nonlinearities, via approximations of large rule fuzzy logic controller by simplest fuzzy controller (4 rules). The error between large rule fuzzy controller and simplest fuzzy controller are compensated by proposed compensating factors. These compensating factors are modified to handle large dead time and nonlinear systems. Features of proposed approximations are discussed. The concept of variation of nonlinearity factor of fuzzy controller is also discussed. Various processes from different literatures are utilized to demonstrate the proposed methodology. After doing many simulations it has been found that with proper tuning, overall system handles large dead time and nonlinearity which may be difficult by conventional methods. The processes are also simulated for load disturbances and change of operating point (set point) and it has been found that proposed scheme is robust for long dead times.
ER -
English
