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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.
Key words: Hydraulic excavator Mathematical modeling Meural
network Simulation Intelligent control
CLC No: TP273
国家高科技研究计划资助项目(863-2003AA404060).
Received 20040709, received in revised form 20041128
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