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Found 84 result(s) for controls

Lab 3: 2-DOF State-Feedback Control

by Quanser Inc.

Students will explore the Linear Quadratic Regulator State-Feedback Control with regards to the 2-DOF helicopter Aero configuration in this lab.
Control System Design and Analysis

by Quanser Inc.

Students complete activities that progress from basics in modeling and control to more complex control strategies like hybrid and digital control. Designed for NI ELVIS III and LabVIEW.
Quanser AERO: Fundamentals of Controls

by Quanser Inc.

This set of labs explores fundamental concepts in controls using LabVIEW, myRIO, and the Quanser AERO.
Controls Labs for the Quanser QUBE Servomotor and Pendulum

by Quanser Inc.

This set of ABET-aligned labs introduces students to control systems for a servomotor and pendulum. Student design simple to complex models and control systems, and ultimately design and stabilize a...
Quanser AERO: Advanced Controls Applications - Half-Quad

by Quanser Inc.

This collection of four labs guides students through modeling, PD control, state-feedback control, and attitude LQG design of a half-quadrotor system using the Quanser Aero.
Motor Control

Understand how to use pulse width modulation to control the speed of a DC motor.
DC Motor Position Control

by Quanser Inc.

In this lab, students will learn about quantitative PD control design through a hands-on lab structured around a DC motor. Designed for NI ELVIS III and LabVIEW.
Introductory Mechatronics and Controls Labs for myRIO

by University of Alabama--Birmingham

The experiments in this lab set introduce students to introductory concepts in mechatronics and controls using myRIO and LabVIEW. These materials are designed to be used as a supplement to the myRIO...
DC Motor Speed Control

by Quanser Inc.

In this lab students learn about qualitative and quantitative PI control design through a hands-on lab about DC motor speed control. Designed for NI ELVIS III and LabVIEW.
Lab 3: Qualitative PID Control

by Quanser Inc.

In this lab, students use LabVIEW to manually tune a PID controller based on the quality of the system response of the Aero plant.