中国机械工程 ›› 2012, Vol. 23 ›› Issue (2): 171-176.

• 机械基础工程 • 上一篇    下一篇

气动人工肌肉并联平台自适应模糊CMAC姿态跟踪控制

施光林1;沈伟2
  

  1. 1.上海交通大学,上海,200240
    2.上海海洋大学,上海,201306
  • 出版日期:2012-01-25 发布日期:2012-02-14

Adaptive Fuzzy CMAC Position Tracking Control of Parallel Platform Based on Pneumatic Artificial Muscles

Shi Guanglin1;Shen Wei2
  

  1. 1.Shanghai Jiao Tong University,Shanghai,200240
    2.Shanghai Ocean University,Shanghai,201306
  • Online:2012-01-25 Published:2012-02-14

摘要:

着眼类人机器人的腰部应用,设计了一种气动人工肌肉三自由度并联平台。引入一种自适应模糊CMAC(AFCMAC),实现了并联平台的姿态控制。通过规划输入空间,实现了AFCMAC对迟滞力、气压波动等不确定因素和非线性耦合因素的感知。离散抗饱和PID并行监督和离线辨识避免了在控制运行初期出现较大的跟踪误差和气压波动,从而使AFCMAC的在线实时自学习调整成为可能。进行了定点转动姿态跟踪实验和抗干扰实验,实验结果表明,AFCMAC具有较好的姿态控制性能和在线学习调整能力。
 

关键词:

Abstract:

Aiming at the waist of hominoid robot,this paper raised a 3 DOF parallel platform based on pneumatic artificial muscles.And an AFCMAC was introduced for posture tracking control of the parallel platform.
By arranging the input space,AFCMAC could learn such uncertainties as hysteresis and
pressure fluctuation,as well as nonlinear coupling characteristics.In the beginning of control
process,the bigger tracking error and pressure fluctuation phenomenon can be avoided
by the design of discrete anti saturation PID parallel supervisory control and offline
identification,which make it possible for AFCMAC to online adjust its structure parameters in real time.Finally,the fix point rotation experiments and anti disturbance experiments
 were carried out.And the results suggest the good control performance and online self learning and adjustment ability of AFCMAC.

Key words: pneumatic artificial muscle, 3 DOF parallel platform, posture control, AF CMAC(adaptive fuzzy cerebellar model articulation controller), hysteresis characteristic

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