An Optimal State Estimator for the FJSRL Instrument Test Platform.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING
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This study is directed toward the development of an optimal state estimator for the Frank J. Seiler Research Laboratory instrument testing platform. The estimator provides the platform state estimate to a digital controller which in turn acts as a linear regulator in attempting to drive the platform states to zero. An estimator is desirable since it allows consideration of the stochastic nature of the platform driving function and it also provides compensation for error sources attributed to the sensors affixed to the platform. The study first derives a system model for the platform, actuators, and sensors. This model embodies all available dynamics information relevant to the platform. The system model is simplified to the lowest order estimator that provides acceptable performance through the use of a covariance analysis. Due to the rather short gain transients compared to the total time of interest the estimator is further simplified to a constant gain estimator. Next the implementation considerations for the estimator are investigated and the estimator algorithm developed.
- Statistics and Probability
- Test Facilities, Equipment and Methods