Optimal design experiments for navigation
Abstract
This paper considers the following optimization problems: (1) a measurable parameter structure and the choice of navigational means, (2) spacecraft control with the purposes of observabilitycondition improvement, and (3) joint operation of spacecraft navigation and control means. These problems are traditionally regarded as Riccatiequation control problems, being an essential element of optimal filtration and controlalgorithm synthesis. A new general solution approach makes it possible to transform the initial nonlinear control problems to equivalent linearinphase variables at the expense of the Riccatiequation analytic properties. The results obtained can be considered as generalization of the classic theory of regressionexperiment design to Kalman filtration in controllable dynamic systems.
 Publication:

AIAA Guidance, Navigation and Control Conference
 Pub Date:
 1990
 Bibcode:
 1990gnc..conf..481M
 Keywords:

 Control Systems Design;
 Navigation Aids;
 Optimal Control;
 Riccati Equation;
 Space Navigation;
 Spacecraft Control;
 Control Theory;
 Experiment Design;
 Kalman Filters;
 Optimization;
 Space Communications, Spacecraft Communications, Command and Tracking