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Teaching Nonlinear Model Predictive Control with MATLAB/Simulink and an Internal Combustion Engine Test Bench

机译：用Matlab / Simulink教学非线性模型预测控制及内燃机测试台

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Model Predictive Control (MPC) is used for more and more applications in an industrial context. The applications are characterized by increasing complexity while the available computation time is getting smaller and smaller. MPC is the most important advanced control technique with even increasing importance. Hence, this topic should be covered in control lectures during the academic studies in order to prepare students for their future work. For the successful implementation of MPC algorithms, knowledge from multiple disciplines is crucial and needs to be taught. Besides teaching knowledge in classical control theory, especially fundamentals in the fields of modeling, simulation and numerical optimization are required for understanding MPC. Programming skills are inevitable to apply the concept in real-world applications.This paper presents a concept for teaching MPC from the theory to the application to real-world systems. Details about the lectures covering the relevant topics are given. In the hands-on exercises, students implement their own linear as well as nonlinear MPC in MATLAB/Simulink. As example application in the exercises, the air path of a turbocharged diesel engine with high pressure exhaust gas recirculation is investigated. At the end of the semester, students can test their developed controllers on a real diesel engine test bench and compete against each other for the best control performance.
机译：模型预测控制（MPC）用于在工业环境中越来越多的应用。应用的特征在于，在可用的计算时间越来越小，而且较小。 MPC是甚至越来越重要的最重要的先进控制技术。因此，在学术研究期间，应该在控制讲座中涵盖这一主题，以便为学生为未来的工作做好准备。为了成功实施MPC算法，来自多个学科的知识至关重要，需要教授。除了在古典控制理论中的教学知识外，尤其是建模领域的基本原理，需要了解MPC。编程技巧不可避免地在现实世界中应用概念。本文提出了从理论向现实世界系统施用MPC的概念。给出了有关涵盖相关主题的讲座的详细信息。在动手练习中，学生在Matlab / Simulink中实现自己的线性和非线性MPC。作为实施例在练习中，研究了具有高压废气再循环的涡轮增压柴油发动机的空气路径。在学期结束时，学生可以在真正的柴油发动机测试台上测试其开发的控制器，并互相竞争以获得最佳控制性能。

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