论文标题
使用基于规范的总结评估进行教学预测控制
Teaching Predictive Control Using Specification-based Summative Assessments
论文作者
论文摘要
由于许多工业领域的MPC采用越来越多，包括本科/研究生控制课程中的模型预测控制（MPC）变得非常重要。在本文中，我们介绍了伦敦帝国学院在2018年至2021年期间作者在伦敦帝国学院教授的预测控制课程的概述。我们讨论了该课程如何从仅关注线性MPC配方到涵盖非线性MPC及其某些扩展。我们还提出了一个新颖的基于规范的总结评估框架，该框架用MATLAB编写，该框架是为了评估课程中学生的知识和理解，该框架是通过为他们设计控制人的现实世界问题而对学生的知识和理解进行了开发的。 MATLAB评估框架旨在为学生提供设计和实施他们想要的任何MPC控制器的自由。然后，对提交的控制器进行评估，以相对于实际问题的30多个变体进行评估，以衡量学生对设计鲁棒性和课程中MPC主题的理解。
Including Model Predictive Control (MPC) in the undergraduate/graduate control curriculum is becoming vitally important due to the growing adoption of MPC in many industrial areas. In this paper, we present an overview of the predictive control course taught by the authors at Imperial College London between 2018 and 2021. We discuss how the course evolved from focusing solely on the linear MPC formulation to covering nonlinear MPC and some of its extensions. We also present a novel specification-based summative assessment framework, written in MATLAB, that was developed to assess the knowledge and understanding of the students in the course by tasking them with designing a controller for a real-world problem. The MATLAB assessment framework was designed to provide the students with the freedom to design and implement any MPC controller they wanted. The submitted controllers were then assessed against over 30 variations of the real-world problem to gauge student understanding of design robustness and the MPC topics from the course.
