DocumentCode
2535310
Title
Automated design of model predictive controllers
Author
Sack, Julia ; Singh, Tarunraj
Author_Institution
Dept. of Mech. & Aerosp. Eng., State Univ. of New York, Buffalo, NY, USA
Volume
6
fYear
2000
fDate
2000
Firstpage
3758
Abstract
The focus of this paper is on the development of a software for the automation of the design of model predictive controllers. The proposed technique uses the collocation method to transform the differential equation of the plant to constraints for the optimization problem. An user-friendly interface permits inclusion of control and state constraints after the system equations and cost functions have been defined. The proposed technique is illustrated via two benchmark problems
Keywords
control system CAD; differential equations; model reference adaptive control systems; optimal control; predictive control; user interfaces; MPC; benchmark problems; collocation method; control constraints; cost functions; differential equation transformation; model predictive controllers design; software development; state constraints; system equations; user-friendly interface; Aerospace engineering; Automatic control; Cost function; Design automation; Differential equations; Feedback; Inductors; Predictive control; Predictive models; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2000. Proceedings of the 2000
Conference_Location
Chicago, IL
ISSN
0743-1619
Print_ISBN
0-7803-5519-9
Type
conf
DOI
10.1109/ACC.2000.876923
Filename
876923
Link To Document