Open AccessAN Improving NCS Stabilization Using a Predictive Pulsed Control Law
Author(s) -
Oriol Castillo,
Héctor Benítez-Pérez
Publication year - 2020
Publication title -
international journal of computers, communications and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.422
H-Index - 33
eISSN - 1841-9844
pISSN - 1841-9836
DOI - 10.15837/ijccc.2020.6.4052
Subject(s) - model predictive control , law , control theory (sociology) , sampling time , control (management) , computer science , mathematics , political science , artificial intelligence , statistics
The aim in this paper is experimentally to show that a predictive pulsed control law is able to enlarge the stabilizing sampling periods of a networked control system (NCS) more than the classical predictive ZOH-control law. Additionally, using a comparisson in the system response between the predictive pulsed control law and the predictive ZOH-control law, it is obtained that the pulsed control law requires less energy consumption to stabilize a NCS exposed to large time-delays. A 3-DOF Hover is used as case study.