| Autor: |
YU Qiong-xia, WANG Fu-zhong |
| Jazyk: |
čínština |
| Rok vydání: |
2011 |
| Předmět: |
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| Zdroj: |
Gong-kuang zidonghua, Vol 37, Iss 5, Pp 34-37 (2011) |
| Druh dokumentu: |
article |
| ISSN: |
1671-251X |
| Popis: |
For characteristics of nonlinearity, time-varying volatility and nonstationarity to disturbance of hoisting system of PMLSM, an improved PMLSM speed-regulation system was designed on basis of established PMLSM d-q axis dynamic mathematical model and BP neural network PID control. The system modifies the fixed learning rate in BP neural network to a self-adaptive one, and adds momentum to reduce oscillation tendency in learning process, so it greatly improves convergence speed and avoid that network falls into a local minimum. The simulation result showed that using the improved BP neural network PID controller can make PMLSM speed-regulation system reduce adjusting time and overshoots greatly and accelerat response speed, and make the hoist system have better dynamic performance and robustness. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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