• CN:11-2187/TH
  • ISSN:0577-6686

›› 2001, Vol. 37 ›› Issue (10): 79-82.

• 论文 • 上一篇    下一篇

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用于气动伺服系统的自适应神经模糊控制器

朱春波;包钢;聂伯勋;杨庆俊;王祖温   

  1. 哈尔滨工业大学气动技术中心
  • 发布日期:2001-10-15

ADAPTIVE NEURAL NETWORK FUZZY CONTROLLER FOR PNEUMATIC SERVO SYSTEM

Zhu Chunbo;Bao Gang;Nie Boxun;Yang Qingjun;Wang Zuwen   

  1. Harbin Institute of Technology
  • Published:2001-10-15

摘要: 研究了一种基于压力比例阀的气动伺服系统自适应神经模糊控制器。其中的神经网络辨识器(NNI)通过高线训练可以充分逼近非线性动态系统的模型,并能够在线调整模糊控制器的控制规则。系统的位置控制精度和伺服特性有了很大改善。试验结果表明,所提出的控制器对该气动伺服系统具有很好的控制特性以及很强的自适应能力。

关键词: 非线性动态系统, 模糊控制, 气动伺服系统工程, 神经网络辨识, 自适应控制

Abstract: An adaptive neural network fuzzy controller for pneumatic servo system based on electric-pneumatic pressure proportional control valve is studied. By trained off-line the neural network Identifier (NNI) is able to approach the model of nonlinear dynamic system and regulate the control rules of the fuzzy controller (FC) on-line. The position control precision and servo characteristic is increased. The experimental results show that the proposed controller has excellent performance for the pneumatic servo system and has the ability of self-adaptive.

Key words: Adaptive control, Fuzzy control, Neural network identify, Nonlinear dynamic system, Pneumatic servo system

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