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Suboptimal Guidance Law Design of Satellite Guided Bombs Based on Single Neuron


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Suboptimal Guidance Law Design of Satellite Guided Bombs Based on Single Neuron
DOU LeiYANG Xin-min
National Key Laboratory of Transient Physics,NUST,Nanjing 210094,China
single neurons small fall angles satellite guided bombs suboptimal guidance law
A suboptimal guidance law is designed based on single neuron to command satellite guided bombs to move with a small fall angle.Motion state equations are established to derive the expression of suboptimal guidance law.Based on the guidance law,a neuron is constructed.An adaptive optimization system is presented and optimized parameters are obtained.Whole ballistic simulations of six degree-of-freedom are made using both the suboptimal guidance law and general proportional navigation guidance law.The proposed method is effective for heading angle to increase 60%.Using the method,complex derivation can be avoided and the simple suboptimal guidance law adapting to engineering and simulation can be obtained directly.


[1]Anon. Exca libur 's GPS??gu ided pro jectiles hit targets [ EB /OL ]. http: / /www8. janes. com /em e ta /Den ia?l ur l = /Search / docum entV iew. do? docId = /con?? ten t1 / janesdata /, 2006- 10- 01.
[2] Rupert P. Excalibu r firings test base??b leed capab ility [ EB /OL ]. http: / /www8. janes. com /em e ta /Den ia?l ur l = /Sea rch / docum entV iew. do? do cId = / con?? ten t1 / janesdata /, 2007- 01- 01.
[3] Dav id C I. New targeting system to update JDAM s in fligh t [ EB /OL ]. http: / /www 8. janes. com / em eta / Den ia?l ur l= /Search / do cum entV iew. do? doc Id= / content1/ janesda ta /, 2003- 07- 01.
[4] Larson K M, Agnew D C. Applica tion o f the g loba l position ing sy stem to crusta l defo rma tion m easure?? m en t. I??Prec is ion and accuracy [ J] . Journa l o f Geo?? physica lResearch, 1991, 96( 10): 16 547- 16 565.
[5] W en L, H o ri Y. V ibration suppression using sing le neuron??based PI fuzzy controller and fractiona l??o rder d isturbance observe r [ J]. IEEE Transac tions on In?? dustr ia l E lectron ics, 2007, 54( 1): 117- 126.
[6] Sun D, JunM. A sing le neuron PID con tro ller based PM SM DTC dr ive sy stem fed by fau lt to lerant 4??sw itch 3??phase inverter [ A ]. 2006 1st IEEE Conference on Industrial E lec tron ics and Applications [ C ]. S inga?? pore: IEEE, 2006. 1- 5.
[7] 牛玉刚, 杨成梧, 赵建丛. 基于多步预测的PID型 神经网络控制[ J]. 南京理工大学学报, 2000, 24 ( 3): 199- 202.
[8] 陶永华. 新型PID控制及其应用[M ]. 西安: 机械 工业出版社, 2002. 153- 561.


Last Update: 2012-12-19