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Open AccessArticle

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

School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
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Processes 2020, 8(2), 212; https://doi.org/10.3390/pr8020212
Received: 2 January 2020 / Revised: 31 January 2020 / Accepted: 6 February 2020 / Published: 10 February 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.
Keywords: model predictive control; parameter tuning; analytical method; multivariable fractional dead time system model predictive control; parameter tuning; analytical method; multivariable fractional dead time system
MDPI and ACS Style

He, N.; Jiang, Y.; He, L. Analytical Tuning Method of MPC Controllers for MIMO First-Order Plus Fractional Dead Time Systems. Processes 2020, 8, 212.

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