SPACE LAUNCH SYSTEM IMPLEMENTATION OF ADAPTIVE AUGMENTING CONTROL

被引:0
|
作者
Wall, John H. [1 ]
Orr, Jeb S. [2 ]
VanZwieten, Tannen S. [3 ]
机构
[1] Dynam Concepts Inc, Guidance Nav & Control Grp, Jacobs ESSSA Grp, Huntsville, AL 35806 USA
[2] Charles Stark Draper Lab Inc, Dynam & Control, Jacobs ESSSA Grp, Huntsville, AL 35806 USA
[3] NASA Marshall Space Flight Ctr, Control Syst Design & Anal Branch, Huntsville, AL 35812 USA
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中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Given the complex structural dynamics, challenging ascent performance requirements, and rigorous flight certification constraints owing to its manned capability, the NASA Space Launch System (SLS) launch vehicle requires a proven thrust vector control algorithm design with highly optimized parameters to provide stable and high-performance flight. On its development path to Preliminary Design Review (PDR), the SLS flight control system has been challenged by significant vehicle flexibility, aerodynamics, and sloshing propellant. While the design has been able to meet all robust stability criteria, it has done so with little excess margin. Through significant development work, an Adaptive Augmenting Control (AAC) algorithm has been shown to extend the envelope of failures and flight anomalies the SLS control system can accommodate while maintaining a direct link to flight control stability criteria such as classical gain and phase margin. In this paper, the work performed to mature the AAC algorithm as a baseline component of the SLS flight control system is presented. The progress to date has brought the algorithm design to the PDR level of maturity. The algorithm has been extended to augment the full SLS digital 3-axis autopilot, including existing load-relief elements, and the necessary steps for integration with the production flight software prototype have been implemented. Several updates which have been made to the adaptive algorithm to increase its performance, decrease its sensitivity to expected external commands, and safeguard against limitations in the digital implementation are discussed with illustrating results. Monte Carlo simulations and selected stressing case results are also shown to demonstrate the algorithm's ability to increase the robustness of the integrated SLS flight control system.
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页码:225 / 239
页数:15
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