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针对特征结构配置应用于飞行控制律设计鲁棒性较差的问题,提出了一种新的鲁棒特征结构配置方法.该方法结合参数化特征结构配置与μ分析,把鲁棒特征结构配置问题转化为包含系统全部自由参数的带约束条件的非线性优化问题.根据飞行控制律特点,提出分步优化策略解决鲁棒特征结构配置多变量优化问题,以降低问题复杂度,同时采用等值分布曲线直观描述优化指标随设计参数变化规律.该方法利用系统全部自由度提高系统鲁棒性,并对自由参数施加约束条件以保证标称闭环系统性能.仿真表明该方法能满足一级飞行品质要求,提高系统鲁棒性,减小保守性.
Aiming at the problem of poor robustness of the flight control law design for the feature configuration, a new robust feature configuration method is proposed. This method combines the parametric feature structure configuration and μ analysis, and presents the robust feature structure configuration problem To a nonlinear optimization problem with constraints of all the system parameters.According to the characteristics of flight control law, a step-by-step optimization strategy is proposed to solve the problem of multivariable optimization with robust feature structure configuration, in order to reduce the complexity of the problem and to adopt the equivalent distribution The curve can intuitively describe the variation law of the optimization index with the design parameters, which improves the system robustness by using all the degrees of freedom of the system and imposes constraints on the free parameters to ensure the performance of the nominal closed-loop system. Simulation shows that the method can meet the requirements of the first-class flight quality , Improve the system robustness and reduce the conservativeness.