The Role of AI in Predicting Dynamic Behavior of Space Solar Power Stations

Abstract

As a promising solution to the global energy crisis, the concept of a Space Solar Power Station has been researched extensively since its inception in 1968. However, the realization of this ambitious project faces significant challenges, particularly in predicting the dynamic behavior of these ultra-large structures. This paper provides a comprehensive review of four prominent numerical analysis approaches employed to address the dynamic problems associated with SSPSs: the Finite Element Method, the Absolute Nodal Coordinate Method, the Floating Frame Formulation Method, and the Structure-Preserving Method. We delve into the merits and shortcomings of each method, highlighting their applicability and limitations in the context of SSPS dynamics. Recognizing the inherent complexities of SSPS structures, we propose that integrating the Structure-Preserving Method within a Finite Element software framework presents a potentially effective pathway for accurate and efficient numerical analysis of SSPS dynamic behavior.