Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket

Abstract

In the last decade, autonomous vertical takeoff and landing (VTOL) vehicles have become increasingly important as they lower mission costs thanks to their reusability. However, their development is complex, rendering even the basic experimental validation of the required advanced guidance and control (G&C) algorithms prohibitively time-consuming and costly. In this paper, we present the design of an inexpensive small-scale VTOL platform that can be built from off-the-shelf components for less than 1000 USD. The vehicle design mimics the first stage of a reusable launcher, making it a perfect test-bed for G&C algorithms. To control the vehicle during ascent and descent, we propose a real-time optimization-based G&C algorithm. The key features are a real-time minimum fuel and free-final-time optimal guidance combined with an offset-free tracking model predictive position controller. The vehicle hardware design and the G&C algorithm are experimentally validated both indoors and outdoor, showing reliable operation in a fully autonomous fashion with all computations done on-board and in real-time.