Development and modeling of intelligent control system of cruise missile based on fuzzy logic

A.S. Utegen, K. Moldamurat, Mukhanbetkaliyeva Ainur, Amangul Talgat, Anuar Galymzhan Amandykuly, S. Brimzhanova
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引用次数: 6

Abstract

This article considers an artificial intelligence system focused on the flight of a cruise missile. A fuzzy logic system belongs to the field of modern artificial intelligence. The cruise missile is widely used in the defense and military sphere. A cruise missile flies close to the ground and maneuvers very quickly during its flight. It is very difficult to direct a cruise missile to the object accurately and reach the target.For this reason, the control system is given a fuzzy logic method based on artificial intelligence. A cruise missile control system requires many parameters and complex mathematical models if it is controlled by a regular system. It requires a large resource and a lot of time to calculate the control system. A cruise missile is very effective when controlled by fuzzy logic, takes little time, maneuvers very quickly during the flight, and quickly makes decisions of any complexity.The article presents a virtual software simulator for creating a model of a cruise missile. This simulator is written in C++ programming language with the complex Matlab editor R2015b. The types, models, goals of use of cruise missiles preceding the virtual test are selected in the simulator. In the simulator the flight parameters of the selected cruise missile (flight speed v, range l, flight altitude h and angles of attack G0, directions of maneuver and external forces) are entered. In the simulator the trajectory of the missile flight is tested according to the task algorithm. The virtual test involves accurately targeting the cruise missile and reducing and eliminating deviations and errors while accurately reaching the target. The virtual software simulator tests any cruise and jet missile, ground-based objects of flight.This virtual software simulator is intended for use by space industry specialists, students at institutions of higher education, specialists trained in the army for practical testing of ground-based objects of flight.
基于模糊逻辑的巡航导弹智能控制系统开发与建模
本文研究了一种专注于巡航导弹飞行的人工智能系统。模糊逻辑系统属于现代人工智能领域。巡航导弹广泛应用于国防和军事领域。巡航导弹靠近地面飞行,在飞行过程中机动速度非常快。制导巡航导弹准确瞄准目标并命中目标是非常困难的。为此,给出了一种基于人工智能的模糊逻辑控制方法。巡航导弹控制系统如果采用规则系统控制,则需要大量的参数和复杂的数学模型。控制系统的计算需要大量的资源和大量的时间。巡航导弹在模糊逻辑控制下是非常有效的,在飞行过程中需要很少的时间,机动非常快,并且可以快速做出任何复杂的决策。本文介绍了一种用于建立巡航导弹模型的虚拟软件模拟器。本模拟器采用c++编程语言编写,采用复杂的Matlab编辑器R2015b。在模拟器中选择虚拟试验前的巡航导弹类型、型号、使用目标。在模拟器中输入所选巡航导弹的飞行参数(飞行速度v、射程l、飞行高度h、攻角G0、机动方向和外力)。在模拟器中,根据任务算法对导弹的飞行轨迹进行了测试。虚拟测试包括精确瞄准巡航导弹,并在精确到达目标的同时减少和消除偏差和误差。虚拟软件模拟器测试任何巡航和喷气导弹,地面飞行物体。这个虚拟软件模拟器是为航天工业专家,高等教育机构的学生,在军队训练的专家使用的,用于地面飞行物体的实际测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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