Work

A Collision Forecast and Coordination Algorithm in Configuration Control of Missile Autonomous Formation

Year: 2017

Type: article

Abstract: In this paper, a formation collision forecast and coordination algorithm (FCFCA) is proposed to avoid collisions in the configuration control of missile autonomous formation (MAF). First, the conditions are derived to forecast collisions of the MAF. Second, the transition target configuration is designed to coordinate collisions. Third, by minimizing the formation group cost, we obtain the optimal transition vector, which can avoid collisions and guarantee the efficiency, safety, and stability of the MAF. Finally, simulation and experiment results are presented to verify the effectiveness of the FCFCA.

Source: IEEE Access

DOI: 10.1109/access.2017.2652984

Authors: Yongming Wen, Sentang Wu, Wenlei Liu, Jia Deng, Xiongjun Wu

Institutions: Beihang University, China Aerospace Science and Technology Corporation, Shanghai Academy of Spaceflight Technology

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,075

OpenAlex ID: W2579296204

FWCI: 1.38

Cites: 21

Cited by: 15

Related to: 10