Fault location method based on residual and double-stage Elman neural network for hydraulic servo system
A technology of hydraulic servo system and neural network, which is applied in the field of fault diagnosis of hydraulic servo system and can solve problems such as difficult fault location.
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[0120] This example uses the experimental data of the hydraulic servo system for verification. The sample signals under the three states of normal operation of the hydraulic servo system, electronic amplifier failure and leakage failure are respectively used to detect and verify the fault location method of the hydraulic servo system based on the combination of the residual error and the two-stage Elman neural network of the present invention. The specific steps are as follows:
[0121] Step 1: Acquiring system input and output signals under three states: normal operation of the hydraulic servo system, electronic amplifier failure and leakage failure.
[0122] When the hydraulic servo system is running normally, the input command of the given system is a sinusoidal signal with a frequency of 1 Hz and an amplitude of 20 mm, and 20 sets of system input and output signals are collected under the normal state of the system. Modify the proportional coefficient K of the PID controll...
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