Analytical Tuning Method of MPC Controllers for MIMO First-Order Plus Fractional Dead Time Systems

Ning He; Yichun Jiang; Lile He

LAPSE

Living Archive for Process Systems Engineering

LAPSE:2020.0356

Published Article

LAPSE:2020.0356

Analytical Tuning Method of MPC Controllers for MIMO First-Order Plus Fractional Dead Time Systems

Ning He, Yichun Jiang, Lile He

April 14, 2020

An analytical model predictive control (MPC) tuning method for multivariable first-order plus fractional dead time systems is presented in this paper. First, the decoupling condition of the closed-loop system is derived, based on which the considered multivariable MPC tuning problem is simplified to a pole placement problem. Given such a simplification, an analytical tuning method guaranteeing the closed-loop stability as well as pre-specified time-domain performance is developed. Finally, simulation examples are provided to show the effectiveness of the proposed method.

Record ID

LAPSE:2020.0356

Keywords

analytical method, Model Predictive Control, multivariable fractional dead time system, parameter tuning

Subject

Process Control

Suggested Citation

He N, Jiang Y, He L. Analytical Tuning Method of MPC Controllers for MIMO First-Order Plus Fractional Dead Time Systems. (2020). LAPSE:2020.0356

Author Affiliations

He N: School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Jiang Y: School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
He L: School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China

Journal Name

Processes

Volume

8

Issue

2

Article Number

E212

Year

2020

Publication Date

2020-02-10