Robust Fuzzy Logic Stabilization with Disturbance Elimination
A robust fuzzy logic controller is proposed for stabilization and disturbance rejection in nonlinear control systems of a particular type. The dynamic feedback controller is designed as a combination of a control law that compensates for nonlinear terms in a control system and a dynamic fuzzy logic...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/171597 |
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| Summary: | A robust fuzzy logic controller is proposed for stabilization and disturbance rejection
in nonlinear control systems of a particular type. The dynamic feedback controller is
designed as a combination of a control law that compensates for nonlinear terms in a
control system and a dynamic fuzzy logic controller that addresses unknown model
uncertainties and an unmeasured disturbance. Since it is challenging to derive a highly
accurate mathematical model, the proposed controller requires only nominal functions
of a control system. In this paper, a mathematical derivation is carried out to prove that
the controller is able to achieve asymptotic stability by processing state measurements.
Robustness here refers to the ability of the controller to asymptotically steer the state
vector towards the origin in the presence of model uncertainties and a disturbance input.
Simulation results of the robust fuzzy logic controller application in a magnetic
levitation system demonstrate the feasibility of the control design. |
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| ISSN: | 2356-6140 1537-744X |