SIMMECHANICS VISUALIZATION OF EXPERIMENTAL MODEL OVERHEAD CRANE,ITS LINEARIZATION AND REFERENCE TRACKING-LQR CONTROL
SIMMECHANICS VISUALIZATION OF EXPERIMENTAL MODEL OVERHEAD CRANE,ITS LINEARIZATION AND REFERENCE TRACKING-LQR CONTROL
Thein Moe Win1
Tim Hesketh2
Ray Eaton3
School of Electrical Engineering & Telecommunication
The University of New South Wales, High St, Kensington, NSW 2052, Australia
ABSTRACT
Overhead Crane experimental model
using Simmechanic Visualization is presented for the robust antisway LQR
control. First, 1D translational motion of overhead crane is designed with
exact lab model measurements and features. Second, linear least square system
identification with 7 past inputs/outputs is applied on collected simulation
data to produce more predicted models. Third, minimize root mean square error
and identified the best fit model with lowest RMSE. Finally, Linear Quadratic
Regulator (LQR) and Reference tracking with pre-compensator have been
implemented to minimize load swing and perform fast track on trolley positioning.
KEYWORDS
Simmechanic Visualization, linear
least square system identification, Linear Quadratic Regulator (LQR), Reference
tracking with pre-compensator, Overhead Crane.
Original Source URL : http://airccse.org/journal/ijccms/current2013.html
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