Multidisciplinary design optimization for rapid revisit missile early warning constellation system

• Published in: Journal of physics. Conference series Vol. 2460; no. 1; pp. 12158 - 12167
• Main Authors: Mao, Nengfeng, Long, Teng, Shi, Renhe, Wu, Yufei, Ye, Nianhui
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.04.2023
• Subjects: Early warning systems; Multidisciplinary design optimization; Perturbation; Physics; Satellite constellations; Signal to noise ratio
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2460/1/012158

In order to improve the comprehensive design performance of the missile early warning constellation system (MEWCS), the multidisciplinary design optimization (MDO) for rapid revisit MEWCS is studied. The MDO problem consists of orbit, coverage, attitude and orbit control, payload, power, and structure disciplines, which is formulated to minimize the revisit time subject to the constraints such as eclipse time, signal to noise ratio, and entire mass of satellite. To efficiently and effectively solve the studied MDO problem, a filter-based mode pursuing sampling intelligent exploring method using discriminative coordinate perturbation (FMPS-DCP) is used to obtain the optimized configuration of constellation and optimized parameters of satellite system. The engineering example shows that the revisit time of MEWCS for the target area is significantly reduced after optimization, which illustrates the effectiveness and practicality of the work in this paper.