Abstract

This paper presents the use of numerical simulation tools developed in MATLAB and Simulink for the design and implementation of an undergraduate course, introducing students to the path planning and trajectory tracking of unmanned aerial vehicles (UAV). The course is part of an aerospace engineering emphasis area; however, with minimal flight dynamics background, it is beneficial to students in related disciplines relevant to UAVs. The major classes of UAV path generation and trajectory tracking algorithms are introduced. Significant design issues and their implications are discussed and illustrated through numerical simulation. Course assignments use active and experiential learning approaches encouraging student creativity and initiative. They involve investigating algorithm alternatives and UAV diverse operational conditions beyond nominal, including control surface failures and adverse atmospheric phenomena. Students are required to solve open-ended problems and design, execute, and analyze simulation experiments in the process. Direct assessment by the instructor and student feedback confirm that advanced numerical simulation increases student motivation and facilitates learning. It represents an effective support for active and experiential learning methodologies.