A multivariable unified predictive control (UPC) algorithm based on the state-space model

Author

Yue, Chen ; Qinglin, Wang

Author_Institution

Integration Autom. Eng. Res. Center, Acad. Sinica, Beijing, China

fYear

1999

fDate

36373

Firstpage

949

Lastpage

952

Abstract

As a kind of predictive control method, advantages of the unified predictive control (UPC) have been demonstrated in several publications. With UPC, different controllers can be designed under a unified frame, which overcomes the difficulty of comparing control results when the controllers are designed in general way, and the cost of design is reduced considerably. However, UPC also has its drawback. When it is applied to solve the problem of multivariable control, the algorithm is too complicated, therefore, there are many difficulties for it to be implemented and analyzed. A new kind of algorithm based on the state-space model is presented in this paper. The limitation of the original algorithm is overcome. It is an extension of the unified predictive control. Simulation results are given

Keywords

Kalman filters; multivariable control systems; predictive control; state estimation; state-space methods; Kalman filter; input output model; multivariable control systems; state estimation; state-space model; unified predictive control; Algorithm design and analysis; Automatic control; Automation; Cost function; Industrial control; Prediction algorithms; Predictive control; Predictive models; Process control; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE Annual, 1999. 38th Annual Conference Proceedings of the

Conference_Location

Morioka

Print_ISBN

4-907764-13-8

Type

conf

DOI

10.1109/SICE.1999.788677

Filename

788677