DocumentCode :
646071
Title :
Multivariable MPC design based on a frequency response approximation approach
Author :
Shah, Ghafoor ; Engell, Sebastian
Author_Institution :
Dept. of Bio- & Chem. Eng., Tech. Univ. Dortmund, Dortmund, Germany
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
13
Lastpage :
18
Abstract :
This paper presents an improvement to the MPC tuning approach presented in [1]. The drawbacks of the former approach are discussed and a new tuning approach is proposed to overcome them. The primary aim is to treat linear MPC as a classical controller design problem and to use the tools of linear control theory for determining the tuning parameters. MPC tuning is performed for a desired open-loop frequency response which results from an achievable closed-loop performance determined using the Youla parameterization technique. The tuning approach is performed in two steps and both resulting minimization problems are convex optimization problems. The approach is tested on a challenging example.
Keywords :
closed loop systems; control system synthesis; convex programming; frequency response; linear systems; matrix algebra; minimisation; multivariable control systems; open loop systems; performance index; predictive control; MPC tuning approach; Youla parameterization technique; classical controller design problem; closed-loop performance; convex optimization problem; frequency response approximation approach; linear MPC; linear control theory; minimization problem; multivariable MPC design; open-loop frequency response; tuning parameter determination; Convex functions; Cost function; Minimization; Robustness; Standards; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich
Type :
conf
Filename :
6669474
Link To Document :
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