Title :
A data-driven subspace design for dual-rate predictive control
Author :
Liu, X.-M. ; Li, S.-T. ; Zhang, K.-J.
Author_Institution :
Sch. of Autom., Southeast Univ., Nanjing, China
Abstract :
A class of dual-rate system with a fast control updating rate and a slow output sampling rate is considered. Lifting technology is applied to derive lifted state space model and a subspace equation for dual-rate systems. From the subspace equation, the dual-rate predictive control law is calculated from a set of input/output (I/O) open-loop experimental data and, thus, this approach is data-driven since it does not involve an explicit model. The outputs of dual-rate system have good tracking performance .The simulation result shows that the proposed method is effective.
Keywords :
control system synthesis; open loop systems; predictive control; state-space methods; I/O open-loop experimental data; data-driven subspace design; dual-rate predictive control law; dual-rate system; explicit model; fast control updating rate; input-output open-loop experimental data; lifted state space model; lifting technology; slow output sampling rate; subspace equation; tracking performance; Aerospace electronics; Automation; Control systems; Educational institutions; Equations; Mathematical model; Predictive control; data-driven; dual-rate system; predictive control; subspace identification;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053347
