Algorithms

New PDF release: Advances in Algorithms and Computational Techniques in

By C. T. Leonides

ISBN-10: 012012730X

ISBN-13: 9780120127306

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Additional info for Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 3 of 3

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17, in which direct local observations are actually being made. T h e local D U filter is also less sensitive to effects of angular and linear accelerations. Figure 20 shows the ability of the local D U filter to estimate the heading error, ψζ. Recall, this is also regenerated via the gain transfer algorithm. T h e performance of the slave (strapdown navigator) is directly related to the quality of the sensor axis alignment between the slave and the master navigator and between the slave and the antenna.

These flight data include aircraft angular rates, linear velocities and accelerations, roll, pitch, yaw, and time. This information is used by the V GAIN TRANSFER Τ A N D HIERARCHICAL A G L O B A L INITIALIZE ' Τ A & PT < A INITIALIZE r TA ΘΤΑ 41 D U INITIALIZE R A ESTIMATION <*> A (K) A DU (K) (K) Θ (K) ÖDU (K) K 1+ K Ρ (K+1 I K) I ) P < D U K 1+ K I > R ^DU, PT A (K+1 I K+1) Ρ (K+1 I K+1) T P F DU (K+1 I K+1) T F i g . 10. G A I N TRANSFER SIMULATION FOR A DECENTRALIZED HIERARCHICAL ESTIMATOR.

F o r those items critical t o local p e r f o r m a n c e (sensor axis misalignments) t h e processing should remain local, where parallel microprocessors c a n speed processing. H e a d i n g a n d tilt errors, o n t h e o t h e r h a n d , a r e o f g l o b a l interest, since a l l d a t a m u s t b e processed w i t h i n a c o m m o n f r a m e o f reference, u s u a l l y the L U W A f r a m e . 57 (min) Fig. 22. L o c a l D U filter harmonization error performance {Αηχ; Αην; Δηζ). 00 GAIN TRANSFER A N DHIERARCHICAL 51 ESTIMATION ο ο • - φχ ο !

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Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 3 of 3 by C. T. Leonides


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