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Modeling method of formation random control system for missile autonomous formation with multiplicative noise

A multiplicative noise and stochastic system technology, applied in the field of missile autonomous formation stochastic control system modeling, can solve the problems of increased collision probability of formation members, non-negligible impact, adverse formation safety and stability, etc.

Active Publication Date: 2019-02-19
BEIHANG UNIV
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Problems solved by technology

[0006] 2) The impact of random factors on the system in the missile autonomous formation mission cannot be ignored
Secondly, these random disturbances cannot be ignored in autonomous missile formations, and the more highly dynamic, flat, dense, and large-scale formations, the less likely it is to ignore the impact of the above random factors on the system
Otherwise, if the randomness of the above-mentioned interference is ignored or the above-mentioned random interference is directly ignored to conduct mathematical modeling on the missile autonomous formation, the designed formation parameters may lead to the following consequences: ① The probability of collision between formation members increases, which is not conducive to The safety and stability of the formation; ②In the actual formation, the formation cannot converge as expected, that is, the formation fails

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  • Modeling method of formation random control system for missile autonomous formation with multiplicative noise
  • Modeling method of formation random control system for missile autonomous formation with multiplicative noise
  • Modeling method of formation random control system for missile autonomous formation with multiplicative noise

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[0202] For the convenience of analysis, the size of the missile autonomous formation is n=2, and the formation (cruising formation) of the formation at the design point is x 12b =100m,z 12b =-173.2m (that is, in the missile ν 1 In the coordinate system of ν 2 at ν 1 100m forward, 173.2m left), the cruising speed of the formation is V 1b =V 2b =100m / s, the cruise trajectory deflection angle of the formation The current formation of the formation is the cruise formation, and the missile ν 1 and ν 2 The current speed of V 1 =V 2 = 100m / s, missile ν 1 and ν 2 The current trajectory deflection angle of Missile current mass m 1 = m 2 =1400Kg, the moment of inertia I of the missile around the y-axis y1 =I y2 =3980Kg·m 2 ,Such as Figure 4 Shown; the movement relationship between nodes in the adjacent group is as follows Figure 5 shown.

[0203] The formation parameters use the data of a certain type of flying missile. Assuming that the support network is strong...

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Abstract

The invention discloses a modeling method of a formation stochastic control system for missile autonomous formation with multiplicative noise, and belongs to the technical field of aircraft formationnavigation, guidance and control. The modeling method takes the formation stochastic control system for missile autonomous formation as a research object, and the obtains a stochastic system model forformation control by performing analysis and modeling on the formation stochastic interference and introducing stochastic factors into a formation model. For the control problem of the formation stochastic model for missile autonomous formation, the modeling method uses an estimator to estimate the system state, and uses a stochastic robust analysis and design method (SRAD) to optimize the estimator and controller of the formation stochastic model, so that the parameters of the controller can meet the requirements of stability and performance.

Description

technical field [0001] The invention belongs to the technical field of aircraft formation navigation, guidance and control, and in particular relates to a modeling method for a missile autonomous formation random control system with multiplicative noise. Background technique [0002] The main research content of formation control includes: the mathematical model of formation control, the control strategy and method of formation formation, the collision avoidance and obstacle avoidance of formation, etc. So far, there are many studies on the formation control of low-speed robot formations and UAV formations based on particle models with relatively high control accuracy, while high-speed formation control based on multi-constraint complex models and relatively low control accuracy. There are few researches on the formation control of low flying missile formations; there are more researches on the formation control of loose formations that are friendly to the mission environmen...

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Application Information

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IPC IPC(8): G05D1/10
CPCG05D1/107
Inventor 吴森堂赵红波李凯李昊晨万月颖
Owner BEIHANG UNIV
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