Browse Teaching Resources

31-40 of 75 Results
Qualitative PD Control

by Quanser Inc.

Students learn how to use a PD (proportional-derivative) compensator to control motor position. Designed for NI ELVIS II/II+.
Image Processing

by Quanser Inc.

Students will explore image processing using thresholding, pattern matching, and blob analysis techniques. They will control a robotic arm navigating a map. Designed for NI ELVIS II/II+.
DC Motor Modeling

by Quanser Inc.

In this lab students will use the Quanser Control Board to learn about First Principles and Experimental Modeling of a DC motor. Designed for NI ELVIS III and LabVIEW.
Webcam

by Dr. Ed Doering | Rose-Hulman Institute of Technology

In this project, students use myRIO to acquire and process image data from a webcam. This includes configuring the webcam and acquiring and processing single images and video streams.
Potentiometer

This project provides students with the tools and activities to learn the properties, principles of operation, and interface theory of potentiometers.
Designing a PD Controller to Specifications

by Quanser Inc.

Students learn to design a PD (proportional-derivative) compensator based on specifications to control position. Designed for NI ELVIS II/II+.
LCD Character Display - UART Interface

by Dr. Ed Doering | Rose-Hulman Institute of Technology

In this project, students learn the principles of operation and applications of an LCD screen, as well as the principles of the UART communication protocol. Students use myRIO and LabVIEW to display...
Manipulator Control

by Quanser Inc.

Using kinematic equations and PID, students control a robot arm to follow trajectories. Students use LabVIEW experiment with gains to limit task-space error. Designed for NI ELVIS II/II+.
Goal Directed Line Following

by Quanser Inc.

Students will complete a culminating lab to implement and analyze a goal directed line following robot arm. Students integrate the subsystems they previously studied. Designed for NI ELVIS II/II+.
Pushbutton Switch

In this project, students discuss the essential concepts associated with a pushbutton switch and apply software-based edge detection to convert a pushbutton press into a trigger event.