Abstract
Earth observation satellite system (EOSS) is the main space platform to collect ground information. Optimization of EOSS is still a difficult problem, as it is a complex system concerning a great deal of design variables and uncertain factors. To solve the problem, an optimization framework based on parallel system and computational experiments is proposed. An artificial system for EOSS is firstly constructed, which is the integration of resource data, task data, environment data and related operation rules. Real EOSS together with artificial EOSS constitute the parallel systems for EOSS. Based on the parallel systems, concept of computational experiments is detailed. Moreover, surrogate models are built to approximate real EOSS. Genetic algorithm and improved general pattern search method are adopted to optimize the model. According to the framework, a case study is carried out. Through the results, we illustrated the proposed framework to be useful and effective for EOSS optimization problem.
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This work was supported by the National Natural Science Foundation of China (Nos. 71071156, 70971131).
Xiaolu LIU is a lecturer at the School of Information System and Management, National University of Defense Technology. Her research interests cover scheduling of imaging satellites and optimization of earth observation satellite system.
Yingguo CHEN is a Ph.D. candidate at the National University of Defense Technology. He received his B.S. degree from National University of Defense Technology in 2008. His research interests cover optimization of earth observation satellite system.
Renjie HE is an associate professor at the School of Information System and Management, National University of Defense Technology. His research interests cover technology of system management and comprehensive integration.
Yingwu CHEN is a professor at the School of Information System and Management, National University of Defense Technology. His research interests cover system planning and management decision-making, SoS engineering management.
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Liu, X., Chen, Y., Chen, Y. et al. Optimization of earth observation satellite system based on parallel systems and computational experiments. J. Control Theory Appl. 11, 200–206 (2013). https://doi.org/10.1007/s11768-013-2033-y
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DOI: https://doi.org/10.1007/s11768-013-2033-y