Nonlinear Dynamic Modelling of a Gas Engine Using an RBF-Network |
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| Authors: | R Korb HP Jörgl B Lutz |
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| Institution: | 1. Faculty of Electronic Engineering , University of Ni? , Ni?, Serbiamarko.milojkovic@elfak.ni.ac.rs;3. Faculty of Electronic Engineering , University of Ni? , Ni?, Serbia |
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| Abstract: | A Radial Basis Function network (RBFN) is used to obtain a model of a gas engine, an unstable two-input/single-output system (MISO-system), to be used for the design of the speed control system. The RBFN-centers are chosen using the stepwise orthogonalization algorithm, and an input space compression which helps to avoid sparse data sets is presented. The influence of noisy data is investigated in a nonlinear system example, in order to find the cause of the model errors in the case of the gas engine model. The quality of the nonlinear RBFN-model is demonstrated by comparing measured and simulated data. |
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| Keywords: | almost orthogonality almost orthogonal filter modelling servo system |
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