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基于单神经元的液压挖掘机自适应PID节能控制

Adaptive PID Control for Energy-saving of Hydraulic Excavator Based on Single Neuron

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【作者】 王昕赵丁选尚涛石祥钟唐新星

【Author】 WANG Xin~ 1,2, ZHAO Ding-xuan~1, SHANG Tao~1, SHI Xiang-zhong~3, TANG Xin-xing~1 (1.College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China;2.College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China;3.Department of Mechanical and Electrical Engineering, Hebei University of Engineering, Handan 056021,China)

【机构】 吉林大学机械科学与工程学院河北工程学院机电工程系吉林大学机械科学与工程学院 长春130022吉林大学生物与农业工程学院长春130022河北邯郸056021长春130022

【摘要】 在分析单神经元PID特性的基础上,设计了基于单神经元的液压挖掘机自适应PID节能控制器。该控制器通过神经元的自学习,对传统PID控制器的比例、积分、微分系数进行在线调整,实现了挖掘机功率匹配自适应控制。仿真结果显示单神经元PID自适应控制器具有较强的鲁棒性。

【Abstract】 An adaptive PID controller for energy-saving of a hydraulic excavator based on the single neuron concept was designed on the basis of the fact that the single neuron features the PID characteristics. The on-line adjustments of the coefficients of proportion, integral and differential of the classical PID controller were realized by means of the self-study of the neurons, allowing the adaptive control for the power-matching of the hydraulic excavator. The simulation results showed that the single neuron PID adaptive controller is characterized by the strong robustness.

【基金】 国家自然科学基金资助项目(59705005);机械部跨世纪优秀人才专项基金资助项目
  • 【文献出处】 吉林大学学报(工学版) ,Journal of Jilin University of Technology(Natural Science Edition) , 编辑部邮箱 ,2005年04期
  • 【分类号】TU621
  • 【被引频次】38
  • 【下载频次】378
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