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Research On Guidance And Control System For KKV

Posted on:2008-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:D F FanFull Text:PDF
GTID:2132360245996871Subject:Aircraft design
Abstract/Summary:PDF Full Text Request
The guidance and control system is the most important part to Kinetic Kill Vehicle (KKV). Guidance accuracy affects the KKV directly. It is very important to improve guidance accuracy when military power are studying to the anti-intercept technology. Main research content in this paper is to study the terminal guidance law based inverse control method, and design the guidance and control system with PI controller .and PID neural networks respectively.After analyzing the kinetic model of KKV, the inverse system of KKV is deduced. Then the longitudinal line-of-sight rate and the lateral line-of-sight are decoupled to be two independent output variables by feedback linearization. At last a linear controllers are designed respectively to control the subsystem.Because of various influential factors and modeling errors, the inverse dynamic model and the real model have deviation. For dispelling the modeling error in dynamic inversion control, a kind of artificial neural network controller of PID is introduced in this paper. Three adjustable parameters are used to reduce training time of initial weights.Most KKV can only be accelerated by its carrier in midcourse guidance. However, it is necessary to accelerate by itself in terminal guidance when its velocity is too slow or it should be accelerated by itself in midcourse guidance. So an aft-end engine is installed,and then analyze the effect of aft-end thrust on guidance and control of interceptor. At last a revision method is gave out.
Keywords/Search Tags:Kinetic Kill Vehicle, Guidance and Control, Dynamic Inversion Systems, Neural Networks
PDF Full Text Request
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