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An Adaptive Control Using Multiple Neural Networks for the Variable Displacement Pump

  • Ming-Hui Chu
  • Yuan Kang
  • Yuan-Liang Liu
  • Yi-Wei Chen
  • Yeon-Pung Chang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)

Abstract

A model following adaptive controller made-up by neural networks is proposed to control the angular displacement of swashplate in a variable displacement axial piston pump (VDAPP), which consists of multiple neural networks including a direct neural controller, a neural emulator and a neural tuner. The controls of swashplate angle are investigated by simulation and experiment, serve its model-following characteristics can be evaluated and compared with other methods.

Keywords

Adaptive Control Angular Displacement Inverted Pendulum Hall Sensor Neural Controller 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ming-Hui Chu
    • 2
  • Yuan Kang
    • 1
  • Yuan-Liang Liu
    • 1
  • Yi-Wei Chen
    • 2
  • Yeon-Pung Chang
    • 1
  1. 1.Department of Mechanical EngineeringChung Yuan Christian UniversityChung LiTaiwan, R.O.C.
  2. 2.Department of Automation EngineeringTung Nan Institute of TechnologyTaipeiTaiwan, R.O.C.

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