الفهرس 
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Abstract
The use of variable displacement axial piston pump in many aircraft, industrial
and agricultural systems has become increasingly popular. The objective of the
present work is to study the dynamic behavior of variable displacement axial
piston pump and get the optimal performance parameter of the pump using
Genetic Algorithms GAs.
A linearized mathematical model in state space form for pump which was
developed. Speed and pressure response due to step input of swashplate angle
for plant model were presented. A comparison between the simulation results of
the experimental model and other models (Manring model) were done. The
results showed the same trend with steady state errors which can be
compensated by adapting controller parameter in closed loop as proportional
integral (PI) controller with optimal gain parameter, and satisfied to Manring
model.
Genetic Algorithms was adapted to get the optimal gain of the pump.
Experimental test rig of computer controlled feedback loop for axial piston
pump was prepared. Stepping motor is adapted to control swashplate angle of
the pump. Computer sent a signal to operate stepping motor via data acquisition
card. Hydraulic motor speed with shaft encoder signal was sent to computer
through DAQ. Computer software based on LABVIEW and MATLAB was
adapted to control feedback loop.
Experimental performance of the pump was measured. The experimental and
theoretical results were compared and showed some deviation due to model
linearization and real variation of experimental parameter.