Stochastic gain tuning method applied to unmanned space vehicle flight control design

Yoshikazu Miyazawa, Toshikazu Motoda

研究成果: 会議への寄与タイプ学会誌査読

2 被引用数 (Scopus)


This paper studies the feasibility of applying the stochastic gain tuning method to the flight control system design of space vehicles. Stochastic gain tuning is a form of parameter optimization by which the probability of the flight control system's total mission achievement is maximized. This probability is estimated by applying the Monte Carlo method to the results of a large number of simulated flights. The flight simulation model contains various types of uncertain parameter, the stochastic properties of which are defined a priori. The flight control system requirements are defined based on the flight simulation results, and an optimization algorithm called the mean tracking technique is used to tune the feedback/feedforward gains of the flight control laws, which maximizes the probability of mission achievement. Although stochastic gain tuning requires large computational resources, the recent advent of low-cost, high-performance computers means that it has become feasible and practicable if efficient computational algorithms are employed. This paper demonstrates its feasibility by applying it to the design of the flight control system of a re-entry space vehicle, a low-speed sub-scaled model of which was flight tested in 1996.

出版ステータス出版済み - 1999
イベントGuidance, Navigation, and Control Conference and Exhibit, 1999 - Portland, 米国
継続期間: 8月 9 19998月 11 1999


その他Guidance, Navigation, and Control Conference and Exhibit, 1999

!!!All Science Journal Classification (ASJC) codes

  • 航空宇宙工学
  • 制御およびシステム工学
  • 電子工学および電気工学


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