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为减小多操纵面无尾飞翼飞机的机动载荷,建立了机动载荷控制问题的多变量优化问题数学模型,并采用分布估计算法进行求解,得到不同马赫数条件下各操纵面的控制分配系数。在此基础上,运用T-S模糊理论对控制分配系数进行模糊合成,得到了模糊控制分配系数,从而无需重新设计即可实现全包线范围内的鲁棒机动载荷控制。仿真实验结果表明,采用基于模糊逻辑的机动载荷控制方案可使机动飞行时翼根弯矩增量的峰值减小率高达80%以上。
In order to reduce the maneuvering load of the tailless flying wing with multiple control surfaces, a mathematical model of multivariable optimization problem of maneuvering load control is established. The distribution estimation algorithm is used to solve the maneuvering load control problem. . On this basis, fuzzy control of the distribution coefficients is fuzzyly synthesized using T-S fuzzy theory, and the fuzzy control distribution coefficient is obtained, so that the robust maneuvering load control within the whole envelope can be realized without redesigning. The simulation results show that the fuzzy logic-based maneuvering load control scheme can make the peak reduction rate of wing root bending moment increase up to 80% when maneuvering.