Title :
Internal model control design for linear parameter varying systems
Author :
Mohammadpour, Javad ; Jing Sun ; Karnik, Aditya ; Jankovic, Marija
Author_Institution :
Coll. of Eng., Univ. of Georgia, Athens, GA, USA
Abstract :
In this paper, we address the design of internal model controllers (IMC) for linear parameter varying (LPV) systems. The design method presented here integrates the IMC and low-pass filter design problems. To this purpose, we formulate the design problem as a linear matrix inequality (LMI) optimization problem by imposing a constraint on the structure of the Lyapunov matrices involved to guarantee robust stability and performance of the closed-loop system. The LMI-based design procedure eventually provides the parameter-dependent state-space matrices corresponding to the IMC controller. Finally, simulation results obtained from a nonlinear system modeled in LPV framework demonstrate the effectiveness of the proposed design method, where we illustrate the improvements achieved by using the LMI-based IMC design over baseline IMC controllers amended with low-pass filters of different bandwidths.
Keywords :
Lyapunov matrix equations; closed loop systems; control system synthesis; linear matrix inequalities; low-pass filters; nonlinear systems; optimisation; robust control; state-space methods; IMC design problems; LMI optimization problem; LMI-based IMC design; LMI-based design procedure; LPV framework; LPV systems; Lyapunov matrices; closed-loop system; internal model controller design; linear matrix inequality optimization problem; linear parameter varying systems; low-pass filter design problems; nonlinear system; parameter-dependent state-space matrices; robust stability; Design methodology; Linear matrix inequalities; Nonlinear systems; Robust stability; Symmetric matrices; Transfer functions; Vectors;
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0177-7
DOI :
10.1109/ACC.2013.6580195