DocumentCode :
645928
Title :
An interpolation-based robust MPC algorithm using polyhedral invariant sets
Author :
Bumroongsri, Pornchai ; Kheawhom, Soorathep
Author_Institution :
Dept. of Chem. Eng., Chulalongkorn Univ., Bangkok, Thailand
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
3161
Lastpage :
3166
Abstract :
This article presents an interpolation-based robust MPC algorithm for uncertain polytopic discrete-time systems using polyhedral invariant sets. Two nested polyhedral invariant sets are constructed off-line by solving robust constrained model predictive control optimization problems. The first one is a large set constructed to cover all of the desired operating spaces. The second one is a small target set constructed to drive the terminal state into. The real-time control law is calculated by linear interpolation between the two state feedback gains corresponding to these nested precomputed polyhedral invariant sets. At each sampling instant, only a computationally low-demanding optimization problem is needed to be solved on-line. The controller design is illustrated with an example. The proposed algorithm can achieve good control performance while on-line computation is still tractable.
Keywords :
discrete time systems; interpolation; optimisation; predictive control; set theory; state feedback; uncertain systems; controller design; interpolation-based robust MPC algorithm; linear interpolation; low-demanding optimization problem; polyhedral invariant sets; precomputed polyhedral invariant sets; robust constrained model predictive control optimization problems; state feedback gains; uncertain polytopic discrete-time systems; Algorithm design and analysis; Approximation algorithms; Interpolation; Optimization; Prediction algorithms; Robustness; State feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich
Type :
conf
Filename :
6669124
Link To Document :
بازگشت