
Temperature Control Lab (TCL)
The temperature control lab is an application of feedback control with an Arduino, an LED, two heaters, and two temperature sensors. The heater power output is adjusted to maintain a desired...
See MoreIntroduction: PID Controller Design
In this tutorial we will introduce a simple, yet versatile, feedback compensator structure: the Proportional-Integral-Derivative (PID) controller. The PID controller is widely employed...
See MoreThe AVA Flight Computer
This video describes the board design, hardware architecture, and software components of the All Vehicle Avionics (AVA) flight computer that was designed by Joe Barnard of BPS Space. This...
See MoreA real control system - how to start designing
Let’s design a control system the way you might approach it in a real situation rather than an academic one. In this video, I step through a control problem and show how control theory is...
See MoreUnderstanding Control Systems: Components of a Feedback Control System
This video introduces the components of a feedback control system and how they interact with each other.
Learn basic terminology by walking through examples that include driving a car...
See MoreITSIE: An Interactive Software Tool for System Identification Education
ITSIE is an Interactive Tool for System Identification Education. The tool is developed using Sysquake, a Matlab-like language with fast execution and excellent facilities for interactive...
See MoreExtremum Seeking Control in Matlab
This lecture explores extremum-seeking control (ESC) on a simple example in Matlab. In particular, a discrete-time (digital) version of ESC is coded in a Matlab script.
See MoreImproving the Beginner's PID - Introduction
In conjunction with the release of the new Arduino PID Library Brett has released this series of posts that explain his PID code. He start's with what he call's “The Beginner’s PID.” He...
See MoreResonance in Nature and Bioinspired Squid Robots
Bioinspired robots combine the best of both biology and engineering. Using tools learned from nature, we can build squid-like and other squishy robots to improve current capabilities in...
See MoreControl Bootcamp: Kalman Filter Example in Matlab
This lecture explores the Kalman Filter in Matlab on an inverted pendulum on a cart.
See MoreUnderstanding Closed-Loop Control
This lecture discusses the differences between open loop and closed loop control in a very easy and intuitive way. Daily examples, like a dishwasher, plant irrigation, and car speed systems...
See MoreUnderstanding Control Systems: The Disturbance Rejection Problem
This video provides a demonstration using a car to show how you can simulate open- and closed-loop systems in Simulink®.
First, you will learn how to model and tune open-loop systems. The...
See MoreWhat Is a Control System and Why Should I Care? (Part 2)
This second video introduces some of the methods that engineers use to build control systems. It shows how we use science to help us derive models of systems from both measurements and...
See MoreSprint - Test Flight 8 and Data Review
This video is part of a series that details the design, build, and test of Sprint - a thrust vector controlled model rocket by Joe Barnard of BPS Space.
See MorePost-Pandemic: A Hybrid Lab Experience
This article discusses the importance of a hybrid laboratory model, blending physical hardware with digital twins. Example using the Quanser Interactive Lab (QLabs) platform is given.
See MoreProcess Control is Inventory Control
You change the inventory of heat to change temperature. You change the inventory of material to change level. Understanding how the inventory relates to the controlled variable is...
See MoreKalman and Bayesian Filters in Python
Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your...
See MoreOIT System Design Laboratory (Japanese)
A collection of video lectures from OIT SDL.
See MoreWhat Is a Control System and Why Should I Care? (Part 1)
This video is the first of a two part series. It in introduces the basic concepts of feedback with lots of visual examples. The idea is to show that not only are these principles...
See MoreQuanser QUBE-Servo 2: Low-cost Teaching Platform for Controls
The Quanser QUBE-Servo 2 is a fully integrated, modular servomotor lab experiment designed for teaching mechatronics and control concepts at the undergraduate level. Ideal for teaching speed...
See MoreTCLab: An Inexpensive Experimental Platform for Students to Learn Feedback
The temperature control lab (TCLab) reinforces process feedback control with real data. The TCLab hardware consists of an Arduino® shield that fits onto a standard Arduino Leonardo...
See MoreImprove SNR and Capacity of Wireless Communication Using Antenna Arrays
The goal of a wireless communication system is to serve as many users with the highest possible data rate given constraints such as radiation power limit and operating budget. To improve the...
See MoreSimulink Onramp
Learn the basics of how to create, edit, and simulate models in Simulink®. Use block diagrams to represent real-world systems and simulate components and algorithms.
See MoreControl Bootcamp: Observability Example in Matlab
This video explores observability in Matlab on the example system of an inverted pendulum on a cart.
See MoreModeling Perturbations and Element Failures in a Sensor Array
This MATLAB example shows how to model amplitude, phase, position and pattern perturbations as well as element failures in a sensor array.
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