Digital Signal Processing

    

Improvement of Control Performance in the Random Vibration Tester Using Fuzzy Cmac Neural Network

Authors: Pyon Kwang Hyok, Son Jin Song

These papers introduce control method of random vibration test using fuzzy CMAC (Cerebellar Model Articulation Controller) based on high learning power of CMAC and knowledge-expression of fuzzy.Proposed method is real time control method in time domain in some other way spectra method based on amplitude frequency response. These papers establish the random vibration control theory to neglect the change of mathematical models of vibration testers according to its types and sizes, using fuzzy CMAC neural network. Finally, its accuracy is proved through MATLAB SIMULINK simulation.

Comments: 13 Pages.

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Submission history

[v1] 2024-10-22 21:58:59

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