Servo tracking of targets at sea
Ahmed, Anis ; Brdys, Mieczyslaw
International Journal of Applied Mathematics and Computer Science, Tome 16 (2006), p. 197-207 / Harvested from The Polish Digital Mathematics Library

This paper details a proposal for the position control system of a two-axis ship-mounted tracker. Aspects of the non-linear dynamics governing Line-Of-Sight (LOS) errors between the tracker and the target are presented. It is shown that the regulation of LOS errors can be achieved by introducing a feed-forward term based on the target's velocity. This velocity is not measurable, and an estimator is required. Given that the tracking problem is non-linear, the classical separation principle does not hold, and cascading the estimator and regulator together may not lead to an optimal position control system. The 'LQAdaptive' system proposed here aims therefore to improve conformity to the separation principle. Simulation trials show that tracking is improved under the LQAdaptive system in comparison to a simple estimator-regulator structure.

Publié le : 2006-01-01
EUDML-ID : urn:eudml:doc:207785
@article{bwmeta1.element.bwnjournal-article-amcv16i2p197bwm,
     author = {Ahmed, Anis and Brdys, Mieczyslaw},
     title = {Servo tracking of targets at sea},
     journal = {International Journal of Applied Mathematics and Computer Science},
     volume = {16},
     year = {2006},
     pages = {197-207},
     language = {en},
     url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-amcv16i2p197bwm}
}
Ahmed, Anis; Brdys, Mieczyslaw. Servo tracking of targets at sea. International Journal of Applied Mathematics and Computer Science, Tome 16 (2006) pp. 197-207. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-amcv16i2p197bwm/

[000] Borrie J.A. (1992): Stochastic Systems for Engineers: Modelling, Estimation and Control. - New York: Prentice-Hall. | Zbl 0759.93070

[001] Brdyś M.A. and Littler J.J. (2002): Fuzzy logic gain scheduling for non-linear servo tracking. - Int. J. Appl. Math. Comput. Sci., Vol. 12, No. 2, pp. 209-219. | Zbl 1004.93502

[002] Ekstrand B. (2001): Tracking filters and models for seeker applications. - IEEE Trans. Aerosp. Electron. Syst., Vol. 37, No. 3, pp. 965-977.

[003] Jaźwiński A.H. (1970): Stochastic Processes and Filtering Theory. - New York: Academic Press. | Zbl 0203.50101

[004] Kwakernaak H. and Sivan R. (1972): Linear Optimal Control Systems. - New York: Wiley. | Zbl 0276.93001

[005] Mayne D., Rawlings J.B., Rao C.V. and Scokaret P.O.M. (2000): Constrained model predictive control: Stability and optimality. - Automatica, Vol. 36, No. 6, pp. 789-814. | Zbl 0949.93003

[006] Singer R.A. (1970): Estimating optimal tracking filter performance for manned maneuvring targets. - IEEE Trans. Aerosp. Electron. Syst., Vol. 6, No. 2, pp. 473-483.

[007] Soeterboek R. (1992): Predictive Control - A Unified Approach. - Hemel Hempstead: Prentice-Hall International. | Zbl 0774.93031

[008] Yang Z. (2002): Multiple-model tracking with fixed-lag smooting using imprecise information. - Ph.D. thesis, Department of Electronic, Electrical and Computer Engineering, The University of Birmingham, Birmingham.