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Some New Fuzzy Control Strategies in an Induction Machine Position Servo System with Nonlinear Load
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| Author(s) |
Z. Wu; D. Naunin |
| Abstract |
In this paper some novel fuzzy control approaches are developed for an induction machine
position servo system with nonlinear load. A new fuzzy flux observer is developed to obtain the
information of flux. The parameter of the flux observer is optimized with the help of Kalman-Filter
technique. The model based fuzzy control method is employed to design the current controller. Fuzzy-
Modelling approach is employed to model the nonlinear load conditions, then a generalized predictive
control on the basis of the fuzzy model provides an on-line optimized control law. Both simulation
and experimental results verified the novel fuzzy control approaches: quick position response without
overshoot has been realized. |
| Download |
| Filename: | EPE1999 - PP00663 - Naunin.pdf |
| Filesize: | 399.2 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-04-06 by System |
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