Unmanned aerial vehicle intelligent confrontation control method based on data drive
A data-driven, control method technology, applied in the field of UAV formation, to achieve the effect of improving the success rate of confrontation
Active Publication Date: 2018-06-15
INST OF AUTOMATION CHINESE ACAD OF SCI +1
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[0004] The main purpose of the present invention is to provide an artificial intelligence algorithm for stand-alone short-distance confrontation, and a system for implementing the algorithm, so as to solve the 1v1 confrontation problem of drones in local environments
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[0037] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.
[0038] The present invention proposes a data-driven UAV intelligent confrontation control method, such as figure 1 shown, including the following steps:
[0039] Step P1, periodically collecting and storing enemy aircraft state data according to the first time interval;
[0040] Step P2, constructing an enemy aircraft flight dynamics model based on the acquired enemy aircraft state data;
[0041] Step P3, based on the current state data and historical state data of the enemy aircraft, and according to the flight dynamics model of the enemy aircraft, the predicted state of the enemy aircraft is calculated; the predicted states of the enemy ai...
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The present invention belongs to the field of unmanned aerial vehicle formation, and especially relates to an unmanned aerial vehicle intelligent confrontation control method based on data drive. Themethod comprises the steps of: obtaining an enemy plane state, predicting an enemy plane model, predicting an enemy plane inertia, predicting an enemy plane motion, predicting an enemy plane state, obtaining a local state, performing local operation normalizing, constructing a local motion list, predicting a local state, constructing an assessment standard, obtaining an assessment result, selecting candidate operation, perform iteration to improve decision depth and selecting an optimal strategy. The problem is solved that an unmanned aerial vehicle cannot rapidly make out reasonable operationwhen the unmanned aerial vehicle employs a human remote control work mode, encounters aerial threat and need intense confrontation, the purpose of intelligent confrontation is achieved, and the confrontation success rate is improved.
Description
technical field [0001] The invention belongs to the field of unmanned aerial vehicle formations, and in particular relates to a data-driven intelligent confrontation control method for unmanned aerial vehicles. Background technique [0002] In the military field, drones were initially used as target drones for training. Later, with the development of technology, it was gradually used for reconnaissance and ground strikes. As a very promising technical equipment, the currently used method is mainly manual remote control. This method has problems such as short working distance, unstable communication link, low communication bandwidth, and slow response time. When encountering fierce confrontation, it is impossible to make reasonable operations quickly, so it can only perform some low-level tasks. [0003] With the improvement of the computer's computing power per unit power, the airborne computer can already achieve relatively large-scale calculations. Combined with previo...
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IPC IPC(8): G05D1/10
CPCG05D1/101
Inventor 高阳祖伟李浩张杰尹登宇李翔马瑶
Owner INST OF AUTOMATION CHINESE ACAD OF SCI