Augmented-Zero-Effort-Miss/ Zero-Effort-Velocity Guidance With Adaptive Collision Avoidance

IF 5.7 2区计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-02-14 DOI:10.1109/TAES.2025.3542348

Boyu Zhu;Youmin Gong;Jie Mei;Guangfu Ma

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Abstract

This study develops an augmented-zero-effort-miss/zero-effort-velocity (A-ZEM/ZEV) guidance algorithm, which integrates an adaptive collision avoidance module designed to maintain obstacle clearance while optimizing fuel consumption. The A-ZEM/ZEV guidance algorithm predefines parameters for step-shaped obstacles to ensure avoidance within a specified risk altitude band and dynamically adjusts parameters for glide-slope obstacles to meet varying slope requirements. Through rigorous simulation testing, the robustness and reliability of the A-ZEM/ZEV guidance algorithm are demonstrated. Further, an in-depth analysis of parameter sensitivity has been conducted, revealing that the fuel efficiency of the A-ZEM/ZEV guidance algorithm is on par with the classical ZEM/ZEV methodology. The contributions include the introduction of a height constraint adaptation mechanism for different step-shaped obstacle lengths and minimum safe heights, and the embedding of velocity information in the performance index for glide-slope collision avoidance, providing a viable solution for complex landing scenarios.

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基于自适应避碰的增强零失手/零速度制导

本研究开发了一种增强型零努力-失手/零努力-速度（A-ZEM/ZEV）制导算法，该算法集成了一个自适应避撞模块，旨在在优化燃油消耗的同时保持障碍物间隙。a - zem /ZEV制导算法预先定义阶梯型障碍物的参数，确保在指定的风险高度范围内避障，并动态调整滑坡式障碍物的参数，以满足不同的坡度要求。通过严格的仿真测试，验证了A-ZEM/ZEV制导算法的鲁棒性和可靠性。此外，对参数敏感性进行了深入分析，表明A-ZEM/ZEV制导算法的燃油效率与经典的ZEM/ZEV方法相当。研究成果包括引入了针对不同台阶形状障碍物长度和最小安全高度的高度约束自适应机制，以及将速度信息嵌入到滑坡避碰性能指标中，为复杂着陆场景提供了可行的解决方案。

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来源期刊

IEEE Transactions on Aerospace and Electronic Systems 工程技术-电信学

CiteScore

7.80

自引率

13.60%

发文量

433

审稿时长

8.7 months

期刊介绍： IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.