Explicit Model Predictive Control of a Drying Blower Temperature: The Piecewise Affine Approach

被引：0

作者：

Laribi, Ibtissem ^{[1
]}

Gargouri, Faiez ^{[2
]}

机构：

[1] Carthage Univ, Tunis, Tunisia

[2] Univ Sfax, Sfax, Tunisia

来源：

ADVANCED INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT (AI2SD'2020), VOL 1 | 2022年 / 1417卷

关键词：

Explicit predictive control; MPC; Piecewise affine system; Drying blower; Hybrid identification;

D O I：

10.1007/978-3-030-90633-7_25

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes an explicit predictive control of temperature inside a drying blower based on the offline optimization of the control law, and a piecewise affine model obtained by hybrid identification. With the piecewise identification, nonlinear systems can be described by a unique model composed by sub-models with separated domains of validity, and a clear switching law between them. The explicit MPC was implemented on the drying blower, using Matlab and a programmable logical controller S7200. The results showed that we can get a performing predictive control by using cheap controllers.

引用

页码：293 / 303

页数：11

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