戈壁地貌地形探测器接地压力神经网络控制研究

冯晓; 胡昊; 孔凡让; 秋实; 陈忠凯

doi:10.13433/j.cnki.1003-8728.2016.0122

戈壁地貌地形探测器接地压力神经网络控制研究

doi: 10.13433/j.cnki.1003-8728.2016.0122

冯晓^1,2,
胡昊²,
孔凡让¹,
秋实²,
陈忠凯²

1.
中国科学技术大学精密机械与仪器系, 合肥 230027;
2.
西北核技术研究所, 西安 710024

详细信息

作者简介:
冯晓(1980-),工程师,硕士,研究方向为工程机械方面,fengxiao57372@126.com

计量
- 文章访问数: 105
- HTML全文浏览量: 16
- PDF下载量: 7
- 被引次数: 0
出版历程
- 收稿日期: 2014-04-13
- 刊出日期: 2016-01-05

Exploring Neural Network Control of Grounding Pressure of Gebi Topography Detector

1.
Development of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China;
2.
Northwest Institute of Nuclear Technology, Xi'an 710024, China

摘要

摘要: 针对戈壁地貌地形探测器接地压力调节系统具有的非线性特点,提出了地形探测器接地压力的BP神经网络PID控制方法,设计了BP神经网络PID控制器,并利用MATLAB软件编程进行了仿真分析和实验。研究结果表明,BP神经网络PID复合控制较之常规PID控制可使系统具有更优的动态性能和良好的跟随特性,是一种有效的控制策略。
- 地形探测器 /
- 接地压力 /
- BP神经网络PID /
- 仿真
Abstract: To resolve the non-linearity of the Gebi topography detector's grounding pressure regulation system, we put forward a control method for the regulation system based on BP(back propagation) neural network and design a BP neural network and PID(proportional/integral/differential) controller. We use the MATLAB to simulate the model of the topography detector's ground pressure regulation system and test the control result. The simulation and experimental results and their analysis show preliminarily that compared with the ordinary PID control method, the BP neural network and PID control method better dynamic characteristics, thus being an effective control method.
- actuators /
- backpropagation algorithms /
- computer simulation /
- control

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参考文献(16)

[1]	李文杰,曾庆良,沈志康,等.地表污染土壤清除机械的方案设计及选型[J].矿山机械,2010,38(16):70-74 Li W J, Zeng Q L, Shen Z K, et al. Design scheme and type selection of machinery for removing contaminated surface soil[J]. Mining & Processing Equipment, 2010,38(16):70-74(in Chinese)
[2]	陶永华,尹怡欣,葛芦生.新型PID控制及其应用[M].北京:机械工业出版社,1999:12-27 Tao Y H, Yin Y X, Ge L S. The new PID control & applications[M]. Beijing:China Machine Press, 1999:12-27(in Chinese)
[3]	Astrom K J, Hagglund T. Automatic tuning of PID controllers[J].Research Triangel Park, North Carolina:Instrument Society of Amercia, l998:736-740
[4]	刘宝廷,程树康.步进电动机及其驱动控制系统[M].哈尔滨:哈尔滨工业大学出版社,1997:19-35 Liu B T, Cheng S K. Stepping motor and its driving control system[M]. Harbin:Harbin Institute of Technology Press, 1997:19-35(in Chinese)
[5]	高钟毓.机电控制工程[M].北京:清华大学出版社,2002:124-133 Gao Z Y. Electrical and control engineering[M]. Beijing:Tsinghua University Press, 2002:124-133(in Chinese)
[6]	张华红.步进电机驱动系统建模技术研究[J].机械设计与制造,2005,(6):131-132 Zhang H H. Study on modeling technology of stepping motor driving system[J]. Machinery Design & Manufacture, 2005,(6):131-132(in Chinese)
[7]	刘卫国,宋受俊.三相反应式步进电动机建模及常用控制方法仿真[J].微电机,2007,40(8):22-25 Liu W G, Song S J. Modeling and simulation of conventional control methods for 3-phase reluctance stepper[J]. Micromotors, 2007,40(8):22-25(in Chinese)
[8]	廉迎战,柳向阳,童怀,等.混合式步进电机驱动系统的统一状态方程[J].微特电机,1999,(3):17-20,24 Lian Y Z, Liu X Y, Tong H, et al. The unified state equations of the hybrid stepper motor drive system[J]. Small & Special Electrical Machines, 1999,(3):17-20,24(in Chinese)
[9]	胡昊.污土铣刨收集机械限深轮接地压力模糊控制研究[D].合肥:中国科学技术大学,2010 Hu H. Research on ground pressure fuzzy control of depth wheels of the polluted soil milling machine[D]. Hefei:University of Science and Technology of China, 2010(in Chinese)
[10]	李孟源,郭爱芳,张发玉.测试技术基础[M].西安:西安电子科技大学出版社,2006 Li M Y, Guo A F, Zhang F Y. Measuring technology[M]. Xi'an:Xidian University Press, 2006(in Chinese)
[11]	刘俊,卢建刚.基于BP神经网络自适应PID的负载控制系统[J].控制工程,2009,16(S1):74-77 Liu J, Lu J G. Load testing system based on BP neural networks self-adaptive PID controller[J]. Control Engineering of China, 2009,16(S1):74-77(in Chinese)
[12]	熊承乾,曾良才,肖自富,等.推床同步BP网络自整定PID控制研究[J].机床与液压,2011,39(17):30-32 Xiong C Q, Zeng L C, Xiao Z F, et al. Research on self-tuning of PID control based on BP network in synchronous control of push bed[J]. Machine Tool & Hydraulics, 2011,39(17):30-32(in Chinese)
[13]	周延延,吴晓燕,李刚.基于BP神经网络的PID控制器研究[J].空军工程大学学报(自然科学版),2007,8(4):45-48 Zhou Y Y, Wu X Y, Li G. Research on PID controller based on BP neural networks[J]. Journal of Air Force Engineering University(Natural Science Edition), 2007,8(4):45-48(in Chinese)
[14]	韩宇光,曹军,朱良宽.刨花板热压控制系统BP神经网络整定PID控制[J].自动化技术与应用,2011,30(12):8-11 Han Y G, Cao J, Zhu L K. Particleboard hot press control based on BP neural networks PID method[J]. Techniques of Automation & Applications, 2011,30(12):8-11(in Chinese)
[15]	张义,左为恒,林涛.BP神经网络PID控制在空调系统中的应用[J].计算机仿真,2011,28(4):149-151 Zhang Y, Zuo W H, Lin T. Application of BP neural network PID control in air-conditioning system[J]. Computer Simulation, 2011,28(4):149-151(in Chinese)
[16]	刘姝廷,金太东,胡博,等.BP-PID在锅炉蒸汽压力控制中的应用[J].武汉工程大学学报,2009,31(7):91-94 Liu S T, Jin T D, Hu B, et al. Research on the application in the boiler stream pressure based on BP-PID control[J]. Journal of Wuhan Institute of Technology, 2009,31(7):91-94(in Chinese)