Abstract
Brushless DC Motor (BLDCM) is a strongly nonlinear systems, which means that we can't get a satisfactory result by the traditional PID Controller. This paper presents an improved BP Neural Network algorithm with adaptive adjustment of learning rate and range adjustment of the output. At last, using MatLab/Simulink to verify the algorithm that it has better control precision and adaptability.
| Original language | English |
|---|---|
| Title of host publication | Automatic Control and Mechatronic Engineering III |
| Publisher | Trans Tech Publications Ltd. |
| Pages | 365-369 |
| Number of pages | 5 |
| ISBN (Print) | 9783038351993 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 3rd International Conference on Automatic Control and Mechatronic Engineering, ICACME 2014 - Xiamen, China Duration: 13 Jun 2014 → 14 Jun 2014 |
Publication series
| Name | Applied Mechanics and Materials |
|---|---|
| Volume | 615 |
| ISSN (Print) | 1660-9336 |
| ISSN (Electronic) | 1662-7482 |
Conference
| Conference | 3rd International Conference on Automatic Control and Mechatronic Engineering, ICACME 2014 |
|---|---|
| Country/Territory | China |
| City | Xiamen |
| Period | 13/06/14 → 14/06/14 |
Keywords
- BP neural network
- Brushless DC motor
- PID
- Precise control
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He, Y., Mo, B., & Li, Y. H. (2014). Precise control of high-Speed BLDCM based on BP neural network. In Automatic Control and Mechatronic Engineering III (pp. 365-369). (Applied Mechanics and Materials; Vol. 615). Trans Tech Publications Ltd.. https://doi.org/10.4028/www.scientific.net/AMM.615.365