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Optimización del control de seguimiento de trayectoria para vehículos de vuelo hipersónicos mediante ADDHP
Zhou Ziyang1, Liang Xiaohui1, Xu Bin1
1School of Automation, Northwestern polytechnical University, Xi'an, 710072, China.
ISA transactions
|August 21, 2025
Resumen
Este estudio introduce una estrategia de control híbrido inteligente para vehículos de vuelo hipersónicos (VHF) utilizando el control de modo deslizante (SMC) y la programación heurística dual dependiente del actor (ADDHP). El nuevo enfoque mejora la precisión del seguimiento de la trayectoria y la adaptabilidad en condiciones de vuelo complejas.
Área de la Ciencia:
- Ingeniería Aeroespacial
- Sistemas de control
- Inteligencia artificial
Sus antecedentes:
- Los vehículos de vuelo hipersónicos (HFV) se enfrentan a desafíos significativos de seguimiento de trayectoria debido a dinámicas e incertidumbres complejas.
- Las estrategias de control existentes a menudo luchan con la adaptabilidad y precisión en entornos dinámicos.
Objetivo del estudio:
- Desarrollar una estrategia de control híbrido inteligente para los vehículos pesados.
- Mejorar el rendimiento del seguimiento de la trayectoria y garantizar la estabilidad del vuelo.
- Para abordar las incertidumbres del modelo y mantener los parámetros críticos de vuelo dentro de límites seguros.
Principales métodos:
- Integración del control de modo deslizante (SMC) para la estabilidad y robustez de referencia.
- Desarrollo de un nuevo mecanismo de protección por ángulo de ataque (AOA).
- Implementación de compensadores óptimos para el control adaptativo basados en la programación heurística dual dependiente del actor (ADDHP).
- El análisis de la estabilidad de Lyapunov para garantizar la convergencia del sistema.
Principales resultados:
- La estrategia híbrida SMC-ADDHP propuesta mejora significativamente la precisión del seguimiento de la trayectoria.
- El mecanismo de protección AOA mantiene efectivamente el ángulo de ataque dentro de los límites especificados.
- Los compensadores ADDHP demuestran una adaptabilidad superior y una optimización del rendimiento en escenarios complejos.
- Las simulaciones comparativas validan la eficacia y la superioridad de la estrategia de control propuesta.
Conclusiones:
- La estrategia de control híbrido inteligente ofrece una solución robusta y adaptable para el seguimiento de la trayectoria de los vehículos HF.
- La integración de SMC y ADDHP proporciona un mayor rendimiento de control y seguridad.
- Este enfoque representa un avance significativo en el control de vuelo autónomo para vehículos hipersónicos.
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