SIM PlanetQuest interferometer real-time control system architecture

Bryan H. Kang; David S. Bayard; Glenn Macala

doi:10.1117/12.735177

25 October 2007 SIM PlanetQuest interferometer real-time control system architecture

Bryan H. Kang, David S. Bayard, Glenn Macala

Proceedings Volume 6675, Optical Modeling and Performance Predictions III; 667507 (2007) https://doi.org/10.1117/12.735177
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

This paper presents a top-level architectural overview of the instrument real-time control system currently under development at JPL for the SIM-Planet Quest interferometer. The control system must meet challenging requirements for providing milliarcsecond class pointing and nanometer class delay-line control performance while tracking science stars as dim as 20^th visual magnitude. The driving functional requirements call for a three-interferometer system that also serves as an attitude sensing and tracking system. Due to the dim science requirements and complicated control initialization processes, the control system is architectured using complex estimators, multiloop feedforward signals, and distributed computational infrastructure. Control objectives and requirements are presented and the necessary control sensors and actuators are discussed. Initialization of the interferometer control system is explained, including processes for target star search, acquisition, and tracking. The nominal tracking control modes are then presented, including incorporation of pathlength and angle feedforward signals. The estimation architecture is explained next including its role in generating the necessary feedforward signals. The resulting overall algorithm structure and implementation using distributed processors on a ring-bus architecture is also briefly discussed.

Citation Download Citation

Bryan H. Kang, David S. Bayard, and Glenn Macala "SIM PlanetQuest interferometer real-time control system architecture", Proc. SPIE 6675, Optical Modeling and Performance Predictions III, 667507 (25 October 2007); https://doi.org/10.1117/12.735177

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