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液压挖掘机工作装置的区间Ⅱ型模糊控制 被引量:3

Interval Type-Ⅱ fuzzy control on work device of hydraulic excavator
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摘要 针对液压伺服系统中阀的流量非线性、泵的流量脉动、液压缸的非线性摩擦力和测量噪声等不确定性干扰因素对液压挖掘机工作装置位置控制精度的影响,建立了动臂液压驱动系统的非线性数学模型并设计了区间Ⅱ型模糊控制(IT2FLC)算法。该算法将传统I型模糊集合中的隶属度值再次进行模糊化表示,即其隶属度值本身为I型模糊系统。Ⅱ型模糊系统增强了集合的模糊性,从而提高了其处理不确定性的能力。仿真分析和实验结果表明,与传统Ⅰ型模糊控制(T1FLC)相比,基于IT2FLC的液压驱动系统具有控制精度高、鲁棒性强、抑制干扰能力强等优点,其能有效减小输入信号突变导致的超调和振荡,并显著提高输入信号平稳变化时的跟踪精度。 Based on the influences of nonlinear flow, flow pulsation, nonlinear friction, measurement noise and other uncertain disturbance factors on the position control precision of excavator work device, a nonlinear mathematical model of the boom hydraulic actuated system has been developed, and the interval Type-2 fuzzy control (IT2FLC) algo- rithm is designed. The membership value in the traditional Type-1 fuzzy set is fuzzified again, that is, the membership value is another Type-1 fuzzy system itself. The Type-2 fuzzy system strengthens the fuzziness of the set, which improves its ability to deal with uncertainty. Simulation analysis and experiment results show that the hydraulic actuated system based on IT2FLC has high control precision, strong robustness, strong interference suppression ability and other advantages compared to Type-1 fuzzy control (T1FLC). It can effectively reduce the overshoot and oscillations caused by the sudden change of input signals, and also significantly improve the tracking precision when the input signals vary smoothly.
出处 《煤炭学报》 EI CAS CSCD 北大核心 2013年第4期707-714,共8页 Journal of China Coal Society
基金 国家自然科学基金资助项目(11072190)
关键词 液压驱动系统 区间Ⅱ型模糊控制 非线性摩擦 不确定性 hydraulic actuated system interval type-2 fuzzy control nonlinear friction uncertainty
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参考文献16

  • 1Guan Cheng, Pan Shuangxia. Adaptive sliding mode control of elec- tro-hydraulic system with nonlinear unknown parameters [ J]. Control Engineering Practice,2005,16 : 1275-1284.
  • 2马俊功,王世富,王占林.电液伺服速度系统的模糊增益调度控制[J].北京航空航天大学学报,2007,33(3):294-297. 被引量:6
  • 3管成,潘双夏.电液伺服系统的非线性鲁棒自适应控制[J].中国电机工程学报,2007,27(24):107-112. 被引量:18
  • 4潘永平,黄道平,孙宗海.Ⅱ型模糊控制综述[J].控制理论与应用,2011,28(1):13-23. 被引量:25
  • 5Tsung-Chih Lin. Based on interval type-2 fuzzy-neural network di- rect adaptive sliding mode control for SISO nonlinear systems [ J ]. Commun Nonlinear Sci. Numer. Simulat. ,2010,15:4084-4099.
  • 6Faa-Jeng Lin, Syuan-Yi Chen, Po-Huan Chou, et al. Interval type-2 fuzzy neural network control for X-Y-Theta motion control stage using linear ultrasonic motors [ J ]. Neurocomputing,2009,72 : 1138-1151.
  • 7Tsung-Chih Lin. Observer-based robust adaptive interval type- 2 fuzzy tracking control of muhivariable nonlinear systems [ J 1. Engi- neering Applications of Artificial Intelligence,2010,23:386-399.
  • 8Hicham Chaoui, Wail Gueaieb, Type-2 fuzzy logic control of a flexi- ble-joint manipulator [ J ]. Journal of Intelligent and Robotic Sys- tems,2008,51 (2) :159-186.
  • 9Ngayen Hong Quang. Robot low level control of robotic excavation [ D 1. Sydney : University of Sydney,2000:75 -79.
  • 10Peter Chapple. Principles of hydraulic system design (first edition) [ M ] Oxford : Coxmoor Pubfishing Company,2001 : 143-148.

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