Nonlinear model predictive control algorithm based on sensitivities equations

Author

Ping, Wang ; Xuemin, Tian

Author_Institution

Coll. of Inf. & Control Eng., China Univ. of Pet., Dongying

fYear

2008

fDate

16-18 July 2008

Firstpage

280

Lastpage

284

Abstract

A new nonlinear model predictive control algorithm based on sensitivities equations is presented to the problem of nonlinear systems. By analyzing the sensitivities equations of the nonlinear system, a linear approximation of the derivatives information used in on-line optimization is obtained, and then the LM algorithm is used to solve the optimal problem in every sample time. The on-line computation is reduced greatly. The simulation result shows the validity and feasibility of the proposed algorithm.

Keywords

approximation theory; control system analysis; nonlinear control systems; predictive control; sensitivity analysis; linear approximation; nonlinear model predictive control algorithm; nonlinear systems; on-line optimization; sensitivities equations; Algorithm design and analysis; Approximation algorithms; Computational modeling; Information analysis; Linear approximation; Nonlinear equations; Nonlinear systems; Prediction algorithms; Predictive control; Predictive models; CSTR; Derivatives information; Nonlinear model predictive control; Sensitivities equations;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605094

Filename

4605094