Abstract:
The paper explores the advantage of Subspace Predictive Control for Linear Parameter Varying systems (SPC LPV) in supervisory and in robust control scheme. Closed-loop su...Show MoreMetadata
Abstract:
The paper explores the advantage of Subspace Predictive Control for Linear Parameter Varying systems (SPC LPV) in supervisory and in robust control scheme. Closed-loop subspace identification technique is used to identify the I/O LPV predictor for optimal control application. This type of the SPC LPV is a data driven approach. The predictor is augmented with the a-priori known and primary-loop controller information. Hence, instead of replacing the existing controller in the loop, a supervisory SPC LPV is proposed in the paper. Moreover, robust extension of the nominal and optimal SPC LPV is formulated taking the worst case future scheduling parameter variation into account. The application of the proposed control schemes on a nonlinear DC motor illustrates the supervisory and the robust nature of the SPC LPV.
Published in: 2009 European Control Conference (ECC)
Date of Conference: 23-26 August 2009
Date Added to IEEE Xplore: 02 April 2015
Print ISBN:978-3-9524173-9-3