Abstract
In situ Resource Utilization (ISRU) facilitates planetary exploration by drawing needed resources, such as water, from the local environment. However, the extreme nature of these environments require the development of advanced unmanned space systems integrated with sample-capture devices to achieve the ultimate goal of prospecting these resources. This paper presents the design, development and Hardware-in-the-Loop (HIL) simulation testing of guidance and tracking control laws for an autonomous small marsupial free-flyer prospector system. The control laws are based on an extended non-linear dynamic inversion (NLDI) approach and its implementation is illustrated through HIL simulation using a mathematical model of an autonomous vehicle research platform developed by NASA Kennedy Space Center. This vehicle has been designed to support the development, testing and validation of algorithms for safe, reliable, and scalable control space missions with minimal need for human intervention in complex, unstructured environments. The main objective of the control laws is to minimize 3-axis distances with respect to a desired trajectory and maintain stability and adequate performance in the presence of uncertainties. The performance of the control laws is evaluated during autonomous flight in terms of trajectory tracking errors, real-time execution on board the flight computer, and control activity at nominal and dynamically-changing conditions. The results show that for all mission cases investigated the control laws approach has desirable capabilities and is reliable for in-flight testing operation as a next step towards the validation and verification of this configuration.
Original language | American English |
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DOIs | |
State | Published - Jan 4 2016 |
Externally published | Yes |
Event | 2016 AIAA Guidance, Navigation, and Control Conference - San Diego, CA Duration: Jan 4 2016 → … |
Conference
Conference | 2016 AIAA Guidance, Navigation, and Control Conference |
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Period | 1/4/16 → … |
Keywords
- Control theory
- Interplanetary flight
- Interplanetary spacecraft
- NASA
- Space platforms
- Tracking (position)
- Hardware-in-the-loop simulation
Disciplines
- Navigation, Guidance, Control and Dynamics
- Space Vehicles
- Systems Engineering and Multidisciplinary Design Optimization
- Robotics