Implementing Problem-Based Learning in Process Control Laboratory for Final Year Electrical Engineering undergraduates: Flow control plant

N. Hambali, H. Halim, J. Johari
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引用次数: 3

Abstract

This paper presents the implementation of Problem-Based Learning (PBL) method in the Process Control Laboratory for the flow control plant. This laboratory is designed for final year system engineering undergraduates. The flow control plant can be operated either using Supervisory Control and Data Acquisition (SCADA) or Distributed Control System (DCS). DCS was used as a group work task for this laboratory for Proportional and Integral (PI) tuning method experiments. Facts, Ideas, Learning Issues and Actions (FILA) table has been used to extract the problems given in the problem statement lab sheets. A performance comparison of PID controller tuning methods for controlling the flow control trainer was recorded. The selection of controller parameter's value determines the stability of the process. The open-loop tests were performed on a plant and the information extracted from the methods was used for the tuning rules. The optimum values of P and I parameters were set based various tuning rules. The performance of these tuning rules was compared after closed-loop set point change operation. The fine tuning technique was used as an open ended solution in order to improve the result where the values of PI were tuned.
基于问题的学习在电气工程毕业班过程控制实验室的实施:流量控制装置
本文介绍了基于问题的学习(PBL)方法在流程控制实验室中的应用。本实验室是为系统工程专业大四本科生设计的。流量控制装置可以使用监控和数据采集(SCADA)或分布式控制系统(DCS)进行操作。本实验室采用DCS作为小组工作任务进行比例与积分(PI)调谐方法实验。事实,想法,学习问题和行动(FILA)表用于提取问题陈述实验表中给出的问题。记录了控制流量控制训练器的PID控制器整定方法的性能比较。控制器参数值的选择决定了过程的稳定性。在植物上进行了开环试验,从方法中提取的信息用于调谐规则。根据不同的调优规则设定P和I参数的最优值。在闭环设定点变化操作后,比较了这些调优规则的性能。微调技术被用作开放式解决方案,以改善调整PI值的结果。
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