|Table of Contents|

 Neural network backstepping control of hydraulic servo position system(PDF)

[ISSN:1007-449X/CN:23-1 408/TM]

Issue:
2014年06
Page:
108-115
Research Field:
Publishing date:

Info

Title:
 Neural network backstepping control of hydraulic servo position system
Author(s):
 FANG Yi-ming LI Ye-hong SHI Sheng-li LI Jian-xiong
 1. Key Lab of Industrial Computer Control Engineering of Hebei Province,Yanshan University,Qinhuangdao,066004,China;
2. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling,Qinhuangdao,066004,China
Keywords:
 hydraulic servo system neural network disturbance observer backstepping control
input saturation
PACS:
-
DOI:
-
Abstract:
 A neural networks backstepping control scheme was proposed for the hydraulic servo position
system with parameter uncertainties,external disturbance and input saturation problem. Firstly,the auxiliary
state observer system was designed by the neural network,and the weights of neural network were
adjusted according to the auxiliary state observation error to realize the online observation of compound
disturbance of the system. Secondly,the observation of compound disturbance was introduced into the
backstepping controller design,which enables the controller to compensate effectively the compound disturbance
of the system. The design of backstepping controller was simplified because a second-order sliding
mode filter was utilized to avoid the problem of the explosion of terms. The Lyapunov theory was used
to guarantee that all the signals in the system are uniformly ultimately bounded. Simulation results show
the designed controller effectively weakens the influence of parameter uncertainties,external disturbance
and input saturations,enhances the robustness of the system and makes the system output track accurately
the desired position.

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Memo

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Last Update: 2014-11-30