Title :
Predictive control of hydraulic winch motion control
Author :
Entao, Zhou ; Wenlin, Yang ; Junzhe, Lin
Author_Institution :
Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China
Abstract :
Hydraulic winch is widely used in field of engineering mechanism. Motion control is an important application for hydraulic winch. The hydraulic winch is a mechanism with heavy load and big inertia. The response speed of hydraulic winch deeply affects the controlling precision when the hydraulic winch is in motion control to track a definite motion. Feedforward control of hydraulic winch can improve the control precision of hydraulic winch motion control. But the non-linear character of hydraulic winch decreases the control precision of motion control. The predictive control is designed based on parameters identification of hydraulic winch. The real time least squares parameters identification of hydraulic winch is used to gain the model parameters of hydraulic winch by using the control voltage of electronic hydraulic proportional valve and the speed of hydraulic winch. The conclusion of simulation test shows that the hydraulic winch motion predictive control which base on the real time parameters identification improves the control precision of motion controlling.
Keywords :
electrohydraulic control equipment; feedforward; hydraulic systems; least squares approximations; motion control; nonlinear control systems; predictive control; valves; winches; electronic hydraulic proportional valve; feedforward control; hydraulic winch motion control; nonlinear hydraulic winch character; predictive control; real time least squares parameters identification; Least squares methods; Motion control; Parameter estimation; Predictive control; Predictive models; Proportional control; Tracking; Valves; Voltage control; Winches; Hydraulic winch; Motion control; Predictive control;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234639