Permanent magnet servo control systems using artificial neural network
This thesis investigates the enhancement of the permanent magnet servo systems through artificial neural network (ANNs). For accurate speed control, a P+RBFESO controller which combines the Radial Basis Function Neural Network (RBFNN) with the ESO-based ADRC is proposed to enhance the disturbance re...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/166803 |