通过ADDHP优化高超音速飞行器的轨迹跟踪控制
Zhou Ziyang1, Liang Xiaohui1, Xu Bin1
1School of Automation, Northwestern polytechnical University, Xi'an, 710072, China.
ISA transactions
|August 21, 2025
概括
本研究介绍了使用滑动模式控制 (SMC) 和行为体依赖双启发式编程 (ADDHP) 的高超音速飞行器 (HFV) 混合智能控制策略. 在复杂的飞行条件下提高了轨迹跟踪精度和适应性.
科学领域:
- 航空航天工程
- 控制系统
- 人工智能
背景情况:
- 超音速飞行器 (HFV) 由于复杂的动态和不确定性而面临重大轨迹跟踪挑战.
- 现有的控制策略通常在动态环境中难以适应和精确.
研究的目的:
- 开发一个智能混合动力控制策略.
- 提高航线跟踪性能,确保飞行稳定性.
- 解决模型的不确定性,并保持关键飞行参数在安全范围内.
主要方法:
- 整合滑动模式控制 (SMC) 以获得基线稳定性和强度.
- 开发一种新的攻击角度 (AOA) 保护机制.
- 基于适应性控制的双重启发式编程 (ADDHP) 的最佳补偿器的实施.
- 为了保证系统的趋同,
主要成果:
- 拟议的混合SMC-ADDHP策略显著提高了轨迹跟踪的准确性.
- 该AOA保护机制有效地保持攻击角度在指定的范围内.
- 在复杂的场景中,ADDHP补偿器表现出卓越的适应性和性能优化.
- 比较模拟验证了拟议的控制策略的有效性和优势.
结论:
- 混合智能控制策略为高压车的轨迹跟踪提供了强大而适应性的解决方案.
- 集成SMC和ADDHP可以提高控制性能和安全性.
- 这种方法代表了超音速飞行器的自主飞行控制的重大进步.
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