An Adaptive Control Using Multiple Neural Networks for the Variable Displacement Pump
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.
KeywordsAdaptive Control Angular Displacement Inverted Pendulum Hall Sensor Neural Controller
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