Learn the crucial skills of system-level integration, comprehensive testing, and collaboration to design and evaluate quadcopter systems effectively.
Learn the crucial skills of system-level integration, comprehensive testing, and collaboration to design and evaluate quadcopter systems effectively.
This final course in the Engineering Design and Simulation Program focuses on integrating all quadcopter subsystems into a cohesive system-level model. Building on the airframe and electromechanical models developed in previous courses, you'll merge these subsystems to simulate the quadcopter's flight virtually. Through interactive and scenario-based testing, you'll observe how the quadcopter behaves under different conditions, allowing you to refine the design iteratively. The course introduces important concepts like virtual prototyping and digital twins, enabling you to test designs without physical prototypes. You'll learn to organize complex systems by grouping related blocks into subsystems, enhancing integration and facilitating team collaboration. The practical course project involves combining a go-kart model with a brake subsystem to test designs under various track conditions, strengthening your skills in subsystem integration and performance evaluation. By the end of this one-week course, you'll master system-level integration, comprehensive testing, and organization techniques, gaining the confidence to design and evaluate complex engineering systems effectively. No prior modeling experience is required, with free access to Simulink and Simscape provided.
Instructors:
English
English
What you'll learn
Integrate multiple subsystems into a cohesive system-level quadcopter model Create interactive tests to evaluate quadcopter performance under different conditions Implement scenario-based testing to ensure real-world functionality Apply virtual prototyping and digital twin concepts to engineering design Organize complex systems by creating subsystems and masks for better integration Collaborate effectively on engineering projects through proper system organization Combine different engineering models to create comprehensive testing scenarios Evaluate system performance through simulation before physical implementation
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This comprehensive course focuses on integrating previously developed quadcopter subsystems into a complete system-level model for virtual flight simulation and testing. Students learn to merge airframe and electromechanical components while implementing interactive and scenario-based tests to evaluate performance under various conditions. The curriculum introduces important engineering concepts like virtual prototyping and digital twins, allowing for design refinement without physical prototypes. A key emphasis is placed on system organization techniques, including creating subsystems and masks to enhance integration and facilitate team collaboration. The course includes a practical project combining a go-kart model with a brake subsystem to test designs under different track conditions, reinforcing integration skills across diverse engineering applications. By course completion, students gain expertise in system-level integration, comprehensive testing methodologies, and organizational approaches essential for complex engineering projects. As the final course in the Engineering Design and Simulation Program, it brings together all previously learned concepts to provide a holistic understanding of engineering system design and evaluation.
Fee Structure
Payment options
Financial Aid
Instructors

9 Courses
Principal Online Course Developer at MathWorks
Dr. Brian Neiswander has been with MathWorks since 2015, where he specializes in modeling and simulation, control design, and model verification. He has authored multiple training books and courses focused on model-based design workflows and best practices. His academic background includes a Ph.D. in aerospace engineering from the University of Notre Dame, where he developed expertise in various research areas, including low-temperature plasma for adaptive optics, external and internal aerodynamics, flow control, and low-order modeling.
Principal Online Course Developer at MathWorks
Nikola Trica holds a Dipl.-Ing. degree in Computer and Systems Engineering from Technische Universität Ilmenau, specializing in Systems Engineering and Intelligent Control. She has been with MathWorks since 2006, initially delivering training on MATLAB, Simulink, and Control Design to customers in Europe. Since 2014, she has transitioned to developing online content for global audiences.
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Frequently asked questions
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