Design of ANFIS speed controller for a novel variable structure control scheme of induction motor

Title:

Design of ANFIS speed controller for a novel variable structure control scheme of induction motor

Creator:

Khwaldeh, A., Barazane, L., Krishan, M. M., and El-Qawasmeh, E.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:be33b0ce-03e0-4418-9d78-348720df1050
uuid:be33b0ce-03e0-4418-9d78-348720df1050

Subject:

Nonlinear feedback control, sliding mode control, adaptive neuro fuzzy inference system control, and induction motor

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This paper concerns the application of neuro-fuzzy approach in order to perform the responses of the speed regulation and reduce the chattering phenomenon introduced by sliding mode control. So first, we conceived a sliding mode controller of the induction motor. A new approach is applied to the cascade structure is presented. For this purpose, a new decoupled and reduced model is first proposed. Then, a set of simple surfaces and associated control laws are synthesized. However, as the magnitude of the piecewise smooth function depends closely on the upper bound of uncertainties, which include parameter variations and external disturbances, we propose a new form of this piecewise smooth control function with a threshold which ensure a significant reduction of the chattering but could not eliminate it. To overcome such a limitation of this control, adaptive neuro fuzzy inference controllers (ANFIS) are designed. Simulation results reveal some very interesting features.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2008 Volume:18 | Number:2

Harvested from:

CDK

Metadata only:

false