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Underwater hydraulic shock shovel control system

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Title:
Underwater hydraulic shock shovel control system
Author(s):
LIU He-ping LUO A-ni XIAO Hai-yan
Affilations:
Author(s):
-
Keywords:
hydraulic shock shovel control system PID BP network
分类号:
TP273
DOI:
-
Abstract:
The control system determines the effectiveness of an underwater hydraulic shock shovel.This paper begins by analyzing the working principles of these shovels and explains the importance of their control systems.A new type of control system’s mathematical model was built and analyzed according to those principles.Since the initial control system’s response time could not fulfill the design requirements,a PID controller was added to the control system.System response time was still slower than required,so a neural network was added to nonlinearly regulate the proportional element,integral element and derivative element coefficients of the PID controller.After these improvements to the control system,system parameters fulfilled the design requirements.The working performance of electrically-controlled parts such as the rapidly moving high speed switch valve is largely determined by the control system. Normal control methods generally can’t satisfy a shovel’s requirements,so advanced and normal control methods were combined to improve the control system,bringing good results.

References:

1. LIU Heping.MENG Qingxin.FANG Xiaoming Study of mechanism of underwater hydraulic impulsion tool [期刊论文] -Journal of Harbin Engineering University2005(01)
2. MENG Qingxin.LIU Heping.WANG Liquan Study of the impulsion frequency of self-feedback hydraulic impulsion tool [期刊论文] -Journal of Harbin Engineering University2005(02)
3. LIU Heping Design of virtual prototype and experimental research on key technology of underwater hydraulic shovel 2005
4. BAI Jin.HAN Jun-wei Study on PID parameters turning method based on MATLAB/Simulink [期刊论文] -Journal of Harbin University of Commerce(Natural Sciences Edition)2007(06)
5. ZHAO Juan-ping.ZHANG Yu-xia Research of PID control based on neural network and its simulation [期刊论文] -Journal of Shenyang Institute of Chemical Technology2007(02)

Memo

Memo:
国家高技术研究发展计划(863计划),哈尔滨工程大学校科研和教改项目,教育部高等学校博士学科点专项科研基金
Last Update: 2010-06-22