Abstract
On the basis of analyzing the composition and working principle of EMB system, the working state of BLDC torque motor in EMB actuator and the reason, which caused the torque ripple while rotation-clogging, are analyzed. Using the experiment data as the network's learning stylebook, based on the, input voltage control signal of motor and the rotator position signal, the RBF neural network is applied to compensate the output torque while motor rotation-clogging. Under the same input voltage signal of the electronic pedal, a stable torque output is obtained through the torque compensating system to change the winding current of the motor while rotation-clogging.
| Original language | English |
|---|---|
| Pages (from-to) | 92-95 |
| Number of pages | 4 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 26 |
| Issue number | SUPPL. 2 |
| Publication status | Published - Dec 2006 |
Keywords
- Electro-mechanical braking system
- RBF neural network
- Rotation-clogging
- Torque compensation