Paper | Title | Page |
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TUP19 | Neural Network Based Generalized Predictive Control for RFT-30 Cyclotron System | 212 |
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Beamline tuning is time consuming and difficult work in accelerator system. In this work, we propose a neural generalized predictive control (NGPC) approach for the RFT-30 cyclotron beamline. The proposed approach performs system identification with the NN model and finds the control parameters for the beamline. Performance results show that the proposed approach helps to predict optimal parameters without real experiments with the accelerator. | ||
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