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拖拉机电液悬挂系统模糊PID自适应控制方法 被引量:31

Fuzzy-PID Self-adaptive Control Method in Electro-hydraulic Hitch System
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摘要 将模糊PID自适应控制方法应用到拖拉机电液悬挂系统控制中。根据系统特性,设计了模糊PID自适应控制器,建立了电液悬挂系统模型,并与普通PID控制方法进行了牵引力控制、位置控制性能仿真分析。搭建了试验台对电液悬挂系统进行田间试验。试验结果表明,采用模糊PID自适应控制以后,电液悬挂系统设定耕深由0.1 m阶跃至0.3 m时,系统过渡过程时间为4 s,无超调量;设定牵引力由3 kN阶跃至7 kN时,系统过渡过程时间为5 s,系统超调量为25%。 Fuzzy-PID self-adaptive control method was used in tractor's electro-hydraulic hitch system.Firstly,the fuzzy-PID self-adaptive controller was designed,and the model of the system was built.Secondly,the performance of draft control and position control was simulated and analyzed compared with PID control.At last,a field-test bed of electro-hydraulic hitch system was built.The test result showed that fuzzy-PID adaptive control had a better performance than PID control in electro-hydraulic hitch system.When the preset position stepped from 0.1 m to 0.3 m,the response time was 4 s,and overshoot was 0.When preset draft stepped from 3 kN to 7 kN,the system's response time was 5 s,and the overshoot was 25%.
出处 《农业机械学报》 EI CAS CSCD 北大核心 2013年第S2期295-300,共6页 Transactions of the Chinese Society for Agricultural Machinery
基金 "十二五"国家科技支撑计划资助项目(2011BAD20B01) 中央高校基本科研业务费专项资金资助项目(2013QJ018)
关键词 电液悬挂系统 模糊PID自适应控制 仿真 田间试验 Electro-hydraulic hitch system Fuzzy-PID self-adaptive control Simulation Field test
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  • 1任子武,高俊山.基于神经网络的PID控制器[J].自动化技术与应用,2004,23(5):16-19. 被引量:35
  • 2陈传硕,田丽华.PID控制参数的整定方法[J].长春邮电学院学报,1994,12(1):9-16. 被引量:26
  • 3唐贤伦,仇国庆,李银国,曹长修.基于MATLAB的PID算法在串级控制系统中的应用[J].重庆大学学报(自然科学版),2005,28(9):61-63. 被引量:22
  • 4胡晚霞,余玲玲,戴义保,何亨文.PID控制器参数快速整定的新方法[J].工业仪表与自动化装置,1996(5):11-16. 被引量:25
  • 5张宇河 董宁.计算机控制系统[M].北京:北京理工大学出版社,2002.135-142.
  • 6Astron K J, Hagglund T. PID controllers[ M].2nd edition Rese arch Triangle Park, North Carolina: Instrument Society of America, 1995.
  • 7Tang C C, Ho W K, Cao L S. A Comparison of Two Design Methods for PID Controllers[J ]. ISA TRANS,2004 : 2-33.
  • 8Takao Kenji, Yamamoto Toru, Hinamoto Takao. A Design of Model Driven Cascade PID Controllers Using a Neural Network Network, IEICE Transactions on Fundamentals of Electronics[J]. Communications and Computer Sciences, 2004: 2322-2330.
  • 9K Kenji,F Ryoko,W Takashi. Joint Angle Control by FES Using a Feedback Error Learning Controller IEEE Transactions on Neural Systems and Rehabilitation Engineering[J]. 2005,13(3): 359-371.
  • 10胡寿松.自动控制原理[M].北京:科学出版社,2008.

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