A Process to Obtain Robustness Metrics for Adaptive Flight Controllers
Author(s) -
M. Scott Kimbrell,
Eric Johnson,
Girish Chowdhary,
Anthony Calise,
Rajeev Chandramohan
Publication year - 2009
Publication title -
aiaa guidance, navigation and control conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2009-5966
Subject(s) - robustness (evolution) , computer science , control theory (sociology) , process (computing) , process control , control engineering , artificial intelligence , engineering , control (management) , operating system , biochemistry , chemistry , gene
*† * ‡ * This research effort seeks a process to draw parallels between the classical stability metrics of gain and phase margins for classical linear control systems with stability margins for adaptive controllers. The method uses a Monte Carlo simulation to yield stability threshold results for the adaptive controller based on problem-specific performance metrics. By fitting a linear controller’s analytical robustness results to the adaptive stability data, the gain and phase margin for the performance-fitting linear system are considered to be the worst case equivalent gain and phase margin for the adaptive controller. This paper also discusses some experiences successfully obtaining time delay margin in a flight test setting.
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