TY - GEN
T1 - NONLINEAR ADAPTIVE LEARNING FOR ELECTROHYDRAULIC CONTROL SYSTEMS^
AU - Zheng, Danian
AU - Havlicsek, Heather
AU - Alleyne, Andrew
N1 - Funding Information:
' This work supported by NSF DMI96-24837CAREER and ONR N00014-96-1-0754
Publisher Copyright:
© 1998 American Society of Mechanical Engineers (ASME). All rights reserved.
PY - 1998
Y1 - 1998
N2 - This investigation presents the application of an existing adaptive learning rule to the position control of a hydraulic cylinder driven by an electrohydraulic proportional valve. The system is representative of many types of Manufacturing applications including Injection Molding, Metal Forming and Industrial Presses which perform the same operation repeatedly for many cycles. The system contains several major nonlinearities that limit the ability of simple controllers in achieving satisfactory performance. These nonlinearities include: valve deadzones, valve flow saturation, and cylinder seal friction. Furthermore there is a significant compliance in the system due to the hose length between the valve and the cylinder. The learning algorithm iteratively determines an appropriate feedforward signal to be used in conjunction with simple feedback in order to track a predetermined reference signal. The algorithm is presented along with simulation and experimental results.
AB - This investigation presents the application of an existing adaptive learning rule to the position control of a hydraulic cylinder driven by an electrohydraulic proportional valve. The system is representative of many types of Manufacturing applications including Injection Molding, Metal Forming and Industrial Presses which perform the same operation repeatedly for many cycles. The system contains several major nonlinearities that limit the ability of simple controllers in achieving satisfactory performance. These nonlinearities include: valve deadzones, valve flow saturation, and cylinder seal friction. Furthermore there is a significant compliance in the system due to the hose length between the valve and the cylinder. The learning algorithm iteratively determines an appropriate feedforward signal to be used in conjunction with simple feedback in order to track a predetermined reference signal. The algorithm is presented along with simulation and experimental results.
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U2 - 10.1115/IMECE1998-0475
DO - 10.1115/IMECE1998-0475
M3 - Conference contribution
AN - SCOPUS:85124336109
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
SP - 83
EP - 90
BT - Fluid Power Systems and Technology
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 1998 International Mechanical Engineering Congress and Exposition, IMECE 1998
Y2 - 15 November 1998 through 20 November 1998
ER -