BP NETWORK CONTROL OVER THE TRACK OF WORKING DEVICE OF HYDRAULIC EXCAVATOR

Abstract

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, Intelligent control, Mathematical modeling, Meural network, Simulation

CLC Number:

TP273

Lü Guangming;Sun Lining;Xue Yuan. BP NETWORK CONTROL OVER THE TRACK OF WORKING DEVICE OF HYDRAULIC EXCAVATOR[J]. , 2005, 41(5): 119-122.

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BP NETWORK CONTROL OVER THE TRACK OF WORKING DEVICE OF HYDRAULIC EXCAVATOR

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