Computer Simulation and Artificial Intelligence Driven Frameworks for Stability Analysis of Spacecraft Phase Plane Control Systems

For the stability analysis problem of spacecraft phase plane control systems, the author has proposed a computer simulation (CS)-based stability analysis framework in the previous work, which is called the CS driven framework in the following text. The overall idea of this framework is to obtain lots of data by CS firstly, and then propose a stability conjecture by analyzing the data with human, and finally draw a stability conclusion by proving the conjecture with human. Based on the CS driven framework, this paper proposes two CS and artificial intelligence (AI)-based stability analysis frameworks, which are called the CS and AI driven framework-I and framework-II in the following text. The framework-I finds the stability characteristics based on the CS data with AI firstly, and then proposes a corresponding stability conjecture by analyzing the CS data with AI, and finally draws a stability conclusion by proving the stability conjecture with human. Based on the CS and AI driven framework-I, the framework-II finally draws a stability conclusion by proving the stability conjecture with AI. Finally, two examples are provided to illustrate the potential feasibility of the proposed framework-I and the framework-II to analyze the stability of spacecraft phase plane control systems.