Abstract:
Gain-scheduled autopilots have emerged as a dominant strategy to achieve adaptive control of coupled, non-linear engineering complexities, owing to an ability to adapt to changing operational conditions and uncertainties. This study focuses on utilizing bilinear interpolation of gain-scheduled autopilots, emphasizing enhanced system performance and robustness. Through a comprehensive investigation and comparative analysis using three disparate cases, advantages over conventional methods are revealed. Strengths and weaknesses of both simple and specialized variants (such as linear, and real-time gain-scheduling) are introduced. Three missile guidance case-studies utilize simulation time and miss distance figures of merit. Comparing the performance of bilinear interpolation and automatic instantiations to index-search, over comparable traveled distances, missile miss distances were improved 179% and 196% respectively with slightly improved computational burden.
摘要:
增益计划自动驾驶仪已成为实现耦合自适应控制的主要策略,非线性工程复杂性,由于能够适应不断变化的运营条件和不确定性。本研究的重点是利用增益调度自动驾驶仪的双线性插值,强调增强的系统性能和鲁棒性。通过使用三个不同的案例进行全面调查和比较分析,揭示了与传统方法相比的优势。简单和专用变体(如线性,和实时增益调度)。三个导弹制导案例研究利用了仿真时间和错过距离的优值。将双线性插值和自动实例化的性能与索引搜索进行比较,在可比的行进距离上,导弹未命中距离分别提高了179%和196%,计算负担略有改善。