Control of the Selection Criteria of the Self-Organization Algorithm in the Problems of Correcting the Navigation Systems of Maneuverable Aircraft

M. S. Selezneva
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Abstract

The problem of constructing models with the desired properties, which are used in the algorithmic support of the sighting and navigation complex of the aircraft, has been studied. The quality of the used mathematical models largely determines the accuracy of the correction of the sighting and navigation system, therefore it is proposed to build models directly during the flight using some evolutionary algorithm. For example, using a self-organization algorithm. The ensemble of selection criteria for the self-organization algorithm includes various criteria that determine the properties of the selected models. Depending on the field of application of the models, they are given the desired properties by means of a self-organization algorithm with a variable ensemble of selection criteria. The selection ensemble consists of general, special criteria, as well as a controlled combination of qualitative criteria that selectively improve the performance of models. When the flight mode changes, the influence of one or another special criterion on the process under study changes. The change in the ensemble of selection criteria for the self-organization algorithm occurs automatically during the flight. Degrees of observability, controllability and parametric identifiability are used as improved qualitative characteristics. Over time, the degree of observability, controllabi lity, and parametric identifiability may change. Components that were well observable over time can become poorly observable. The weakly observable components of the state vector, although they are formally observable, in practice are not processed by estimation algorithms, since their evaluation is possible only on sufficiently large intervals of the system operation. A similar situation develops with models in the study of the quality of their controllability, as well as with the parameters of models during their identification. An algorithm for controlling the quality selection criteria and a diagram of the algorithm for generating models during the correction of a promising sighting and navigation complex of an aircraft are presented. Mathematical modeling has been carried out for various flight modes of the aircraft, such as straight flight, flight at different altitudes. The results of the simulation showed the efficiency and effectiveness of the proposed algorithmic solutions
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操纵飞机导航系统修正问题中的自组织算法选择标准控制
研究了具有期望属性的模型的构造问题,并将其用于飞机瞄准导航系统的算法支持。所使用的数学模型的质量在很大程度上决定了瞄准导航系统校正的精度,因此提出在飞行过程中使用一些进化算法直接建立模型。例如,使用自组织算法。自组织算法的选择标准集合包括确定所选模型属性的各种标准。根据模型的应用领域,通过一种具有变量选择标准集合的自组织算法来给定所需的属性。选择集合包括一般的、特殊的标准,以及有选择地改进模型性能的定性标准的受控组合。当飞行模式发生变化时,一个或另一个特殊准则对所研究过程的影响也会发生变化。自组织算法的选择标准集合在飞行过程中自动发生变化。可观察性、可控性和参数可辨识度作为改进的定性特征。随着时间的推移,可观测性、可控性和参数可识别性的程度可能会发生变化。随着时间的推移,可以很好地观察到的成分可能变得很难观察到。状态向量的弱可观察分量,虽然它们在形式上是可观察的,但在实践中并没有被估计算法处理,因为它们的评估只有在系统运行的足够大的间隔上才有可能。在研究模型的可控性质量时,以及模型辨识时的参数时,也出现了类似的情况。提出了一种控制质量选择标准的算法,并给出了飞机瞄准导航复合体校正过程中模型生成的算法框图。对飞机的各种飞行模式,如直线飞行、不同高度飞行等进行了数学建模。仿真结果表明了所提算法的有效性和有效性
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来源期刊
Mekhatronika, Avtomatizatsiya, Upravlenie
Mekhatronika, Avtomatizatsiya, Upravlenie Engineering-Electrical and Electronic Engineering
CiteScore
0.90
自引率
0.00%
发文量
68
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