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by K. Valavanis
Unmanned Aircraft Systems (UAS) have seen unprecedented levels of growth during the last decade, with even more expectations for future utilization in a very wide spectrum of applications, both military and civilian. However, focusing on the civilian use of UAS, and before ‘our pizzas are delivered from the sky’ and ‘our packages are dropped in our front door from quadrotors’ it is essential that R&D at least in the areas of design for autonomy, navigation, robust and fault-tolerant control, sense-detect-and-avoid/see-and-avoid systems for mid-air collision avoidance, UAV safety and reliability, reaches levels that are ‘acceptable’ by the civilian authorities (i.e., FAA, ICAO, etc.) before complete UAS integration into the national airspace system occurs.
This talk focuses at first on the design for autonomy, the transition from the ‘human-in-the-loop’ to the ‘human-on-the-loop’ concept that is coupled with the much needed reduced operator workload, followed by a comprehensive and modular UAS control architecture aiming at facilitating software developments regardless of specific hardware. This is followed by a generalized framework for (nonlinear, linearized and linear) controller design for unmanned rotorcraft – extendable to fixed wing UAVs - including a methodology to accommodate in real-time rotorcraft main/tail rotor failures resulting in helicopter safe landing. A scalable sense-detect-and-avoid system (SDAA) is also presented based on a combination of long- / short- range radar sensors, which is capable of simultaneously detecting and identifying multiple threats. This is patented technology that has been licensed for evaluation purposes.
Moving forward, and considering that Personal Air Vehicles (PAVs) is not such an ‘unthinkable’ goal, an integrated methodology to build and test Circulation Control Based fixed wing UAVs is presented, which allows for enhanced performance and increased payload during cruise flight.
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Dr. Kimon P. Valavanis, Fellow, AAAS John Evans Professor and Chair, Electrical and Computer Engineering Director, DU Unmanned Systems Research Institute (DU2SRI) Daniel Felix Ritchie School of Engineering and Computer Science University of Denver, Denver, CO 80208 Kimon.Valavanis@du.edu |