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 Wysłany: Czw 22:30, 09 Gru 2010 Temat postu: ugg boots günstig Missile launch sequence in the |
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Missile launch sequence in the genetic algorithm optimization of
Conditions, to continue calculations are useless at this time should cease. In this paper, the selected value is the difference between when successive Five are less than 0.001, or hereditary algebra is too large (this selection 70) on the entry conditions to stop operation. Of equation (4) optimization to take P = 1,[link widoczny dla zalogowanych], so only a single point on the mean square value of pitch perturbation optimization. 3 Simulation results using the genetic algorithm described above, select the calculated parameters are as follows% = 784.8N, J ∞ = 163kg. K = 5.43xl0N ・ 1TI, o = 85. d = 0m. N = 6. Harbin Engineering University Volume 22: \ i: i, jj; hereditary algebra genetic algorithm in Figure 4 when the objective function value of each generation curve Fig4Cur,, eoftargetvalueofeachgenerationwjthGA after 28 generation of genetic algorithm to optimize the results of 142,[link widoczny dla zalogowanych],563 (see Figure 4) ,[link widoczny dla zalogowanych], should be fired on the objective function value of the order of 1014 × 10rad, to confirm the authenticity of the results, but also arbitrary firing sequence selected 9, calculating their launch time interval of 0.4s at the time of the pitch angle and velocity are perturbed square value compared with the optimal results, this order of 9 launch were (from 2 to beginning), 135,246; 123456; 152,643; 364,152; 362,514; 234,514; 346,125; 543,621; 163,254, the simulation results shown in Figure 5. The results show that: for any order of the selected shot, the genetic algorithm makes the order from the objective function of the smallest launch a large number of simulation results show that: the genetic algorithm can be optimal or quasi optimal solution hi 12x10 pregnant 08 × 113 Cameroon clamor O. 4 × lO. 012345678910 launch order. The mean angle of the angle of a disturbance disturbance mean square value in Figure 5 under different firing order of the objective function value Fig5Targetvalueotdiffewmlatmehing-Sequence enumeration method used in the same conditions, the obtained optimal result is the same, indicating that the order for the launch of the genetic algorithm The optimization is feasible; genetic algorithm to optimize the results of the 28 Generation, then the equivalent process carried out only 28 times, calculate the order of 280; the use of enumeration to cycle 720 times, calculating 720 kinds! this It can be seen, the genetic algorithm than the enumeration method saves a lot of time 4 Conclusion The introduction of genetic algorithm optimization order of the missile launch process, the simulation results show that the method of the missile launch sequence of optimization is feasible. This method than the traditional enumeration method easy to use, with the need to enumerate the optimization of the missile increases, the method execution time is short, high convergence probability, not easy to fall into the characteristics of local maximum significant paper on the type of AA (4 ) optimized to take P = 1, so only a single point on the mean square value of pitch perturbation optimization. Disturbance in the actual point of the process and disturbance from the sliding velocity on the parameters of the missile, since the location of control points greater impact on attitude, should be determined by the actual system requirements. This example is validation of genetic algorithm optimization of the feasibility of the missile firing interval for future research provide reference methods. References:: 1] Yaochang Ren, TANG Guo-Liang,[link widoczny dla zalogowanych], Song Tinglun rocket missile dynamics [M] Beijing: Beijing Institute of Technology Press, 19% [2] KEVINAW, DA \ IDJAgilemissiledynamicsandeontmliJJJc ~ raalofGuldance. Contml, andDynam-i. 1998,36 (3) :465-470. [3] Di Haifeng, Zhao Mingwang all seeking multimodal function global optimization control cell exclusion algorithm: J] control and decision-making. 1998,13 (2) :131-135 [4] JOESUZUKIANNrkovchainanals0171simplege-neticalgorithmLJ] IEEETramonSystem. s, MandCybernetics, 1998,25 (4) :655-659 [5: Yuen Mitsuo [Japanese], Cheng Runwei genetic algorithm and engineering design [M]. Beijing: Science Press, 20006] He Lin, Wang Jun Bureau, Li Guobin, and other elitist preserved genetic algorithm and its convergence analysis of IJ]. Control and Decision, 20OO,[link widoczny dla zalogowanych], 15 (1) :63-66 [Editor: Li Ling Chu] 444400000xx19753ZII 【l00000 ● Farm hoop four clamor Ⅱ
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