This paper deals with the design of robust control strategies to govern the position and attitude of a Darwin-type spacecraft with large flexible appendages. The satellite is one of the flyers of a multiple spacecraft constellation for a future ESA mission. It presents a high order multiple-input–multiple-output (MIMO) model with large uncertainty and loop interactions introduced by the flexible modes of the low-stiffness appendages. The scientific objectives of the satellite require very demanding control specifications for position and attitude accuracy, high disturbance rejection, loop-coupling attenuation, and low controller order. The paper demonstrates the feasibility of a sequential nondiagonal MIMO quantitative feedback theory (QFT) strategy controlling the Darwin spacecraft and compares the results with -infinity and sequential diagonal MIMO QFT designs.
Skip Nav Destination
e-mail: mgsanz@unavarra.es
Article navigation
January 2008
Research Papers
Nondiagonal MIMO QFT Controller Design for Darwin-Type Spacecraft With Large Flimsy Appendages
Mario Garcia-Sanz,
Mario Garcia-Sanz
Automatic Control and Computer Science Department,
e-mail: mgsanz@unavarra.es
Public University of Navarra
, Campus Arrosadia, 31006 Pamplona, Spain
Search for other works by this author on:
Irene Eguinoa,
Irene Eguinoa
Automatic Control and Computer Science Department,
Public University of Navarra
, Campus Arrosadia, 31006 Pamplona, Spain
Search for other works by this author on:
Marta Barreras,
Marta Barreras
Automatic Control and Computer Science Department,
Public University of Navarra
, Campus Arrosadia, 31006 Pamplona, Spain
Search for other works by this author on:
Samir Bennani
Samir Bennani
Guidance, Navigation and Control Section,
ESA/ESTEC
, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands
Search for other works by this author on:
Mario Garcia-Sanz
Automatic Control and Computer Science Department,
Public University of Navarra
, Campus Arrosadia, 31006 Pamplona, Spaine-mail: mgsanz@unavarra.es
Irene Eguinoa
Automatic Control and Computer Science Department,
Public University of Navarra
, Campus Arrosadia, 31006 Pamplona, Spain
Marta Barreras
Automatic Control and Computer Science Department,
Public University of Navarra
, Campus Arrosadia, 31006 Pamplona, Spain
Samir Bennani
Guidance, Navigation and Control Section,
ESA/ESTEC
, Keplerlaan 1, 2201 AZ Noordwijk, The NetherlandsJ. Dyn. Sys., Meas., Control. Jan 2008, 130(1): 011006 (15 pages)
Published Online: December 18, 2007
Article history
Received:
May 16, 2006
Revised:
May 25, 2007
Published:
December 18, 2007
Citation
Garcia-Sanz, M., Eguinoa, I., Barreras, M., and Bennani, S. (December 18, 2007). "Nondiagonal MIMO QFT Controller Design for Darwin-Type Spacecraft With Large Flimsy Appendages." ASME. J. Dyn. Sys., Meas., Control. January 2008; 130(1): 011006. https://doi.org/10.1115/1.2807067
Download citation file:
Get Email Alerts
Data-Driven Tracking Control of a Cushion Robot With Safe Autonomous Motion Considering Human-Machine Interaction Environment
J. Dyn. Sys., Meas., Control (July 2025)
Dynamic Obstacle Avoidance Strategy for High-Speed Vehicles Via Constrained Model Predictive Control and Improved Artificial Potential Field
J. Dyn. Sys., Meas., Control (July 2025)
An Adaptive Sliding-Mode Observer-Based Fuzzy PI Control Method for Temperature Control of Laser Soldering Process
J. Dyn. Sys., Meas., Control
Related Articles
Position and Attitude Control of Deep-Space Spacecraft Formation Flying Via Virtual Structure and θ - D Technique
J. Dyn. Sys., Meas., Control (September,2007)
Robust Adaptive Attitude Tracking Control With L 2 -Gain Performance and Vibration Reduction of an Orbiting Flexible Spacecraft
J. Dyn. Sys., Meas., Control (January,2011)
A Dissipative Control Design for Jupiter Icy Moons Orbiter
J. Dyn. Sys., Meas., Control (July,2007)
Feedback Linearization Based Generalized Predictive Control of Jupiter Icy Moons Orbiter
J. Dyn. Sys., Meas., Control (January,2009)
Related Proceedings Papers
Related Chapters
Fault-Tolerant Control of Sensors and Actuators Applied to Wind Energy Systems
Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems
An Adaptive Fuzzy Control for a Multi-Degree-of-Freedom System
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Human Factors Engineering and Industrial Ergonomics
An Instructional Aid For Occupational Safety and Health in Mechanical Engineering Design