Title :
Minimum-time contour tracking with model predictive control approach
Author :
Yen-Chi Chang ; Tsu-Chin Tsao
Author_Institution :
Mech. Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA
Abstract :
This paper addresses the contour tracking time duration minimization problem subject to physical constraints of system dynamics, contour error, axial velocity, signal saturation, and monotonic feed. This finite horizon minimum time optimal control problem is approximated and formulated as a receding horizon optimal control, i.e. generalized predictive control, where the trajectory speed (feed-rate) profile is determined for the specified contour. The proposed minimal-time contour tracking optimization is demonstrated by simulation for a bi-axial XY positioning system.
Keywords :
minimisation; optimal control; predictive control; trajectory control; axial velocity; bi-axial XY positioning system; contour error; contour tracking time duration minimization problem; feed-rate profile; finite horizon minimum time optimal control problem; generalized predictive control; minimal-time contour tracking optimization; minimum-time contour tracking; model predictive control approach; monotonic feed; physical constraint; receding horizon optimal control; signal saturation; system dynamics; trajectory speed profile; Equations; Linear programming; Mathematical model; Optimal control; Optimization; Predictive control; Splines (mathematics); Constrained control; Optimization; Predictive control for linear systems;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6859414