Title :
Finite-set model predictive control of the two-mass-system
Author :
Fuentes, Esteban ; Kennel, Ralph
Author_Institution :
Tech. Univ. Muenchen, Munich, Germany
Abstract :
This paper presents the design of a control scheme for the two-mass-system based on the Finite-Set Model Predictive Control method. The whole system state is controlled in a centralized way, so that the problem is solved more holistically, that is to say, using all degrees of freedom available. Constraints in the prediction horizon, given by the limited computation power and speed of the system dynamics, and the consequent myopic perspective of the controller, are solved by means of an ad-hoc cost function. The control is done using measurements of the stator currents and the speed of the driving machine. The rest of the system state is estimated using a Kalman Filter.
Keywords :
Kalman filters; centralised control; costing; electric current measurement; machine control; predictive control; set theory; stators; velocity control; Kalman filter; ad hoc cost function; computation power; consequent myopic perspective; control scheme design; driving machine; finite set model predictive control; prediction horizon; stator current measurement; two mass system; whole system state; Cost function; Current measurement; Equations; Mathematical model; Oscillators; Stators; Torque; Finite-Set Model Predictive Control; Permanent Magnet Synchronous Motor; Reduced Order Extended Kalman Filter; Two-Mass System;
Conference_Titel :
Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2011 Workshop on
Conference_Location :
Munich
Print_ISBN :
978-1-4577-1912-7
DOI :
10.1109/PRECEDE.2011.6078734
