Lab-in-a-Box Approach for Teaching Control: Bridging the Gap Between Theory and Practice
Discover how Aston University’s Future Vehicle Technologies MSc course teaches AV control algorithm design.
Utilizing a “lab-in-a-box” approach, students master control engineering fundamentals through Model-Based Design with MATLAB® and Simulink®. They develop real-time systems, focusing on DC motor control, including speed control, temperature control, and obstacle avoidance. Students report positively on the transferrable skills that let them apply their learnings from “lab-in-a-box” to the Roboworks Rosbot Plus TX platform.
Related Resources:
Download Control-Lab-in-a-Box (CLB): https://bit.ly/4faVyIV
MATLAB and Simulink Courseware: https://bit.ly/4hbwGSU
Get Started Teaching with MATLAB and Simulink: https://bit.ly/3ERCnnu
Chapters:
00:00 Introduction
00:42 Motivation: Bridging the gap between control theory and practice
02:00 Vehicles and hardware used for teaching Future Vehicle Technologies course
05:10 Overview of control labs
06:26 Teaching plan (first course in control engineering)
09:18 Which skills do students acquire via control labs?
10:50 What does control lab-in-a box look like?
12:00 Example lab1: Least squares for parameter estimation of a DC motor
13:47 Example lab2: DC motor PI speed control
15:02 Example lab3: DC motor PI speed control with on/off safety aspects
16:40 Student evaluation on control lab in-a-box
19:55 Acquired skills and knowledge from low-cost control lab in-a-box is transferable to working with more complex real-life systems
21:08 How students feel more confident about future job opportunities
23:00 How to access readily available materials (files, models, code) for Control-Lab-in-a-box?
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