The teaching of autonomous vehicle control algorithm design involves the drawing together of multiple topics from both theory and practice. To enable an in-depth knowledge of how the control algorithms of an AV operate, a laboratory-scale approach using 'lab-in-a-box' has been developed at Aston University for a project-based module on the Future Vehicle Technologies MSc Course. The aim of the approach is such that students can learn the control engineering fundamentals before moving onto a larger vehicle platform. The adopted approach borrows ideas inspired from model-based design for embedded control. Continuous-time and discrete-time simulation tools are used to design what is in effect a real-time control system. Students are also taught 'model shop' skills and computer aided design (CAD), thus allowing the students to build a physical control system to operate in real-time. The focus is on the control of a DC motor, including speed control, temperature control and obstacle avoidance. Initial results presented here are promising, leading to increased levels of student satisfaction and engagement.
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James E. Pickering (2024) studied this question.
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