Heterogeneous Cooperative Flight Conflict Resolution Method Based on Evolutionary Game
An evolutionary game and flight conflict technology, applied in the field of aircraft, can solve problems such as the inability to continue to use cooperative flight conflict resolution methods, and achieve the effects of improving accuracy and timeliness, reducing the amount of calculation, and improving accuracy
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Embodiment 1
[0038] The following combination Figure 1 to Figure 6 Embodiment 1 of the present application will be described.
[0039] Such as figure 1 As shown, this embodiment provides a heterogeneous cooperative flight conflict resolution method based on evolutionary game, including:
[0040] Step 1, record any aircraft in the multi-aircraft group as a detection aircraft, and determine the set of neighbor aircraft corresponding to the detection aircraft according to the detection radius of the detection aircraft, wherein the set of neighbor aircraft includes at least one neighbor aircraft, and the neighbor aircraft belongs to the multi-aircraft group ;
[0041] Specifically, in a multi-aircraft group, for different types of aircraft, there are differences in parameters such as detection range, flight speed, and engine power performance, especially for the detection range (detection radius) of each aircraft, which is an important parameter for the safe flight of the aircraft And impo...
Embodiment 2
[0096] The following combination Figure 7 to Figure 9 Embodiment 2 of the present application will be described.
[0097] Such as Figure 7 As shown, this embodiment provides an autonomous conflict resolution method for dense flights based on pre-order flight information, including:
[0098] Step 5, when it is determined that the data communication between the detection aircraft and any neighbor aircraft in the neighbor aircraft set is abnormal, according to all the simple flight strategies of the detection aircraft in the multi-aircraft group and the current flight strategy of the neighbor aircraft, the normalization algorithm is adopted The sum weighting algorithm calculates the individual expected income corresponding to the detection aircraft, where the individual expected income includes individual safety income and individual efficiency income, and the current flight strategy of the neighbor aircraft is determined by the detection aircraft according to the dete...
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