基于PSO的航天器太阳能电池阵机理模型构建

Construction of the Mechanism Model of Spacecraft Solar Cell Array Based on PSO

摘要: 航天器太阳能电池阵是航天器重要的能源供给系统，其性能直接影响航天器的在轨运行寿命和任务执行能力。为精确评估和管理太阳能电池阵的在轨性能，本文提出了一种基于粒子群优化(PSO)算法的航天器太阳能电池阵机理模型构建方法。首先，建立了太阳能电池阵的初步机理模型，该模型能够反映电池阵的电学特性。其次，详细阐述了PSO算法的基本原理及其在模型参数辨识中的应用。通过将PSO算法与机理模型相结合，实现了对模型关键参数的高效、精确辨识，有效克服了传统辨识方法易陷入局部最优的缺点。最后，通过仿真验证和实际数据分析，对所构建模型的参数辨识结果进行了分析，并验证了模型的准确性和有效性。研究结果表明，该方法能够为航天器太阳能电池阵的在轨性能评估、故障诊断及健康管理提供可靠的理论依据和技术支持。

Abstract: The spacecraft solar array is a crucial energy supply system for spacecraft, and its performance directly affects the on-orbit operational life and mission execution capabilities of the spacecraft. To accurately evaluate and manage the on-orbit performance of solar arrays, this paper proposes a method for constructing a mechanistic model of spacecraft solar arrays based on the Particle Swarm Optimization (PSO) algorithm. Firstly, a preliminary mechanistic model of the solar array is established, which can reflect the electrical characteristics of the array. Secondly, the basic principles of the PSO algorithm and its application in model parameter identification are elaborated. By combining the PSO algorithm with the mechanistic model, efficient and accurate identification of key model parameters is achieved, effectively overcoming the drawback of traditional identification methods easily falling into local optima. Finally, through simulation verification and actual data analysis, the parameter identification results of the constructed model are analyzed, and the accuracy and effectiveness of the model are verified. The research results indicate that this method can provide reliable theoretical basis and technical support for on-orbit performance evaluation, fault diagnosis, and health management of spacecraft solar arrays.