Nonlinear State Estimation by Adaptive Embedded RBF Modules

[+] Author and Article Information
Chengyu Gan, Kourosh Danai

Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA 01003-2210

J. Dyn. Sys., Meas., Control 123(1), 44-48 (Oct 05, 1999) (5 pages) doi:10.1115/1.1341198 History: Received October 05, 1999
Copyright © 2001 by ASME
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Illustration of the modified sub-function when embedded by an RBF network
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Estimated values (dotted line) of the load torque τL by EKF using the nominal model
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Estimated values of the load torque by EKF using the RBF-embedded model
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The relationship between the modified sub-function τL and τL as obtained by adapting the RBF weights
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Estimated values of the states Rotor Flux1 and Rotor Flux2 by EKF using the RBF-embedded model




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