Abstract
Mathematic model of the control system of a hydraulic excavator is built, with BP neural network introduced to the control system. Computer simulation is used to check the control effect of the built mathematic model. Based on the simulation results, the conclusion is that BP neural network control is better than the conventional PID control after having analyzed dynamic response and steady-state error of the excavator system. Finally, BP neural network is applied to actual control of the excavator and the system showed good control effect.
| Original language | English |
|---|---|
| Pages (from-to) | 119-122 |
| Number of pages | 4 |
| Journal | Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering |
| Volume | 41 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2005 |
Keywords
- Hydraulic excavator
- Intelligent control
- Mathematical modeling
- Neural network
- Simulation
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