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Stability and Robustness Analysis and Improvements for Incremental Nonlinear Dynamic Inversion Control

机译:增量非线性动态逆控制的稳定性和鲁棒性分析及改进

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Incremental nonlinear dynamic inversion (INDI) is a variation on nonlinear dynamic inversion (NDI), retaining the high-performance characteristics, while reducing model dependency and increasing robustness. After a successful flight test with a multirotor micro aerial vehicle, the question arises whether this technique can be used to successfully design a flight control system for aircraft in general. This requires additional research on aircraft characteristics that could cause issues related to the stability and performance of the INDI controller. Typical characteristics are additional time delays due to data buses and measurement systems, slower actuator and sensor dynamics, and a lower control frequency. The main contributions of this article are: 1) an analytical stability analysis showing that implementing discrete-time INDI with a sampling time smaller than 0.02s results in large stability margins regarding system characteristics and controller gains; 2) a simulation study showing significant performance degradation requiring controller adaptation due to actuator measurement bias, angular rate measurement noise, angular rate measurement delay and actuator measurement delay; and 3) the use of a real-time time delay identification algorithm based on latency to successfully synchronize the angular rate and actuator measurement delay together with pseudo control hedging (PCH) to prevent oscillatory behavior.
机译:增量非线性动态反演(INDI)是非线性动态反演(NDI)的一种变体,保留了高性能特性,同时减少了模型依赖性并提高了鲁棒性。在使用多旋翼微型飞行器成功进行飞行测试之后,出现了一个问题,即该技术是否可以用于总体上成功设计飞机的飞行控制系统。这就需要对飞机特性进行额外的研究,这些特性可能会引起与INDI控制器的稳定性和性能有关的问题。典型特征是由于数据总线和测量系统而导致的额外时间延迟,较慢的执行器和传感器动态以及较低的控制频率。本文的主要贡献是:1)分析稳定性分析表明,以小于0.02s的采样时间实施离散时间INDI会在系统特性和控制器增益方面带来较大的稳定性裕度; 2)仿真研究表明,由于执行器测量偏差,角速率测量噪声,角速率测量延迟和执行器测量延迟,需要控制器适应的性能显着下降; 3)使用基于延迟的实时时间延迟识别算法来成功同步角速度和执行器测量延迟以及伪控制套期(PCH),以防止振荡行为。

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