Co-simulation of a Model Predictive Control System for Automotive Applications

被引：12

作者：

Bernardeschi, Cinzia ^{[1
]}

Dini, Pierpaolo ^{[1
]}

Domenici, Andrea ^{[1
]}

Mouhagir, Ayoub ^{[2
]}

Palmieri, Maurizio ^{[1
]}

Saponara, Sergio ^{[1
]}

Sassolas, Tanguy ^{[2
]}

Zaourar, Lilia ^{[2
]}

机构：

[1] Univ Pisa, Dept Informat Engn, Pisa, Italy

[2] Univ Paris Saclay, CEA List, F-91120 Palaiseau, France

来源：

SOFTWARE ENGINEERING AND FORMAL METHODS: SEFM 2021 COLLOCATED WORKSHOPS | 2022年 / 13230卷

关键词：

Model predictive control; Co-simulation; Autonomous vehicles;

D O I：

10.1007/978-3-031-12429-7_15

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Designing a Model Predictive Control system requires an accurate analysis of the interplay among three main components: the plant, the control algorithm, and the processor where the algorithm is executed. A main objective of this analysis is determining if the controller running on the chosen hardware meets the time requirements and response time of the plant. The constraints, in turn, should be met with a satisfactory tradeoff between algorithm complexity and processor performance. To carry out these analyses for an autonomous vehicle control, this paper proposes to leverage parallel co-simulation between the plant, the model predictive controller and the processor.

引用

页码：204 / 220

页数：17

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