By Amir Hossein Jafari, Oklahoma State University
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OverviewIn this experiment you will build and control a magnetic levitation system. You will begin by constructing the maglev system. Then you will use an Arduino to apply random voltages to the electromagnet, collect voltages and magnet positions, and develop a neural network NARX model of the system. You will then train a model reference controller, implement it with the Arduino and compare its response with a PID controller. Click on the Handout PDF link in the right sidebar to download the Experiment Handout. It describes all of the steps you will need to perform to complete the experiment. If you click on the Hardware/Parts link in the right sidebar, you will find a list of all parts needed to perform this experiment and places to order them. Files needed for 3-D printing can be found by clicking on the 3-D Printer Files link. Software that you will need to run the experiment is available from the Software/Code link What You Will LearnThis experiment will give you insights into the NARX modeling and neural model reference control of maglev systems. You will also learn about the capabilities and limitations of linear modeling and control design, when applied to a practical, real-world (nonlinear) system. PrerequisitesBefore running this experiment, you should perform the following experiments: Blinking LED, Simple DC Motor, Sampling and Data Acquisition, Intro to 3-D Printing. |
Handout PDFHardware/PartsSoftware/Code3-D Printer Files |