ADDHPによる超音速飛行車両の軌道の追跡制御の最適化
Zhou Ziyang1, Liang Xiaohui1, Xu Bin1
1School of Automation, Northwestern polytechnical University, Xi'an, 710072, China.
ISA transactions
|August 21, 2025
まとめ
この研究は,スライディングモード制御 (SMC) とアクター依存のデュアルヒューリスティックプログラミング (ADDHP) を使用したハイブリッドインテリジェント制御戦略を導入します. この新しいアプローチは,軌道追跡の精度と複雑な飛行条件の適応性を高めます.
科学分野:
- 航空宇宙工学
- 制御システム
- 人工知能
背景:
- ハイパーソニックフライト車両 (HFV) は,複雑なダイナミクスと不確実性のために,重要な軌道の追跡課題に直面しています.
- 既存の制御戦略は ダイナミックな環境での適応性と精度で 苦戦しています
研究 の 目的:
- ハイブリッド制御戦略を開発する.
- 軌道の追跡性能を向上させ,飛行の安定性を確保する.
- モデルの不確実性に対処し,安全な範囲内で重要な飛行パラメータを維持します.
主な方法:
- スライディングモード制御 (SMC) の統合は,ベースラインの安定性と堅固性のために.
- 新しい攻撃角度 (AOA) の保護メカニズムの開発.
- 適応制御のためのアクター依存の二重ヒューリスティックプログラミング (ADDHP) ベースの最適補償器の実装.
- システム収束を保証するリヤプノフの安定分析
主要な成果:
- 提案されたハイブリッドSMC-ADDHP戦略は軌道追跡の精度を大幅に改善します.
- AOAの保護メカニズムは,攻撃の角度を指定した範囲内で効果的に維持します.
- ADDHP補償器は,複雑なシナリオで優れた適応性とパフォーマンスの最適化を示しています.
- 比較シミュレーションは,提案された制御戦略の有効性と優越性を検証します.
結論:
- ハイブリッドインテリジェント制御戦略は,HFVの軌道を追跡するための堅牢で適応可能なソリューションを提供します.
- SMCとADDHPの統合により,制御性能と安全性が向上します.
- このアプローチはハイパーソニック車両の 自動飛行制御における 重要な進歩を意味します
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