Overview
Advanced air mobility, encompassing urban air mobility, is set to transform the way we travel. It focusses on building innovative hybrid vehicles, such as VTOL (vertical take-off-and-landing) aircraft, which combines the functionalities of multi-copters with those of fixed-wing aircraft. Developing effective control systems for these advanced vehicles poses distinct challenges.
The complexity of designing VTOL controls lies in achieving a smooth transition between hover, fixed-wing flight, and transition modes. Engineers must possess a thorough understanding of flight dynamics and be adept at customizing and fine-tuning control systems. The need for simulations in photorealistic and real-world environments further complicates the design process. This webinar is designed to provide engineers involved in the development of VTOL platforms, control systems, and simulations with the insights and tools needed to navigate the complexities of VTOL control design and simulations efficiently.
Highlights
With several examples, we will demonstrate:
- Customizing the VTOL plant model
- Tuning Control Design for the VTOL UAV in Hover mode
- Multiloop Control Design for the VTOL UAV in Fixed Wing Flight
- Tuning Control Design for the VTOL UAV in Transition mode
- Visualizing the VTOL UAV mission in photorealistic real-world scenarios using Unreal Engine®
- Deployment and Hardware-in-the-Loop (HIL) simulation workflows
About the Presenters
Mihir Acharya
Mihir Acharya is a senior product manager for robotics and autonomous systems applications at MathWorks, focusing on UAVs and navigation solutions. Mihir also authors the Autonomous Systems blog page on the MathWorks website. Prior to MathWorks, Mihir has worked with ABB Corporate Research where he designed robot end effectors and Omron Robotics where he developed path planning applications for mobile robots. Mihir has an M.S. in Robotics Engineering from Worcester Polytechnic Institute.
Ronal George
Ronal George is a senior application engineer for robotics and autonomous systems at MathWorks. Prior to joining MathWorks in April 2019, Ronal worked as an inside sales engineer at SPX Transformer Solutions and as an electrical design engineer at WindLabs. Ronal has a master’s degree in electrical engineering from North Carolina State University. As a part of his master’s, Ronal worked with the Advanced Diagnosis, Automation and Control (ADAC) Laboratory to develop planning and localization algorithms for multiagent systems.
