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
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;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.876923
