Control method for airplane-push fuzzy-sliding model
A fuzzy sliding mode control, a technology introduced by aircraft, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of high ground fuel consumption, environmental pollution, airport ground traffic congestion, etc.
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specific Embodiment approach 1
[0022] Specific implementation mode one: combine figure 1 , Figure 2(a)~(c) and image 3 A kind of fuzzy sliding mode control method for an aircraft push out of the present embodiment is described, which is specifically prepared according to the following steps:
[0023] A fuzzy sliding mode control method for launching an aircraft includes analysis and modeling of aircraft departure process, timing data collection and processing, fuzzy controller operation, sliding mode controller verification, outputting execution instructions,
[0024] Step 1: Analysis of the aircraft departure process; analyze the aircraft departure process, clarify the constraints of the aircraft departure process, and put forward the assumptions for modeling the aircraft departure process;
[0025] Among them, the aircraft departure process (see attached figure 1 ) means: the air traffic control center issues a take-off command, and the tractor pushes the aircraft from the apron to the entrance of the ...
specific Embodiment approach 2
[0035] Specific implementation mode two: the difference between this implementation mode and specific implementation mode one is: in step two, use queuing theory to model the aircraft departure process. The specific process is:
[0036] (1) Apply queuing theory to model the aircraft departure process; the entire aircraft departure process is regarded as a serial queuing system, the aircraft entering the taxiway is the first queuing system, and the aircraft leaving the taxiway and entering the runway is the second queuing system ;
[0037] (2) Assuming that the arrival rate of the aircraft to the taxiway and the runway obeys the Poisson distribution, the arrival rates are λ 1 and lambda 2 ; The output process of taxiway and runway is subject to negative exponential distribution, taxiway service rate μ 1 and the runway service rate μ 2 , and μ 1 and μ 2 Independent;
[0038] The average queuing length of the tandem queuing system during aircraft departure for:
[0039] ...
specific Embodiment approach 3
[0047] Specific embodiment 3: The difference between this embodiment and specific embodiment 1 or 2 is that in step 4, the digital signal in step 3 is utilized and Calculate the average queuing length Q(t), average waiting time T(t), queuing length error E(t) and queuing length error variation EC(t) per unit time. The specific process is as follows:
[0048] (1) The average queuing length Q(t) of aircraft per unit time is the average queuing length L of the tandem queuing system during aircraft departure:
[0049] Q ( t ) = L ‾ = ρ 1 + ρ 2 - 2 ρ 1 ρ 2 ( 1 ...
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