Intelligent Control Technologies for Space: Current Status Analysis and Development Prospects

This review comprehensively explores the paradigm shift and developmental framework of space intelligent control technology, emphasizing the systematic construction of "seven-dimensional autonomous capabilities" (self-perception, memory, cognition, learning, adaptation, action, and evolution) in spacecraft empowered by AI. Contrasted with conventional control architectures, intelligent control demonstrates revolutionary advances in environmental robustness, human-like cognitive decision-making, system dynamic evolution, and deeply integrated "perception-decision-execution" frameworks. The study synthesizes core domains including intelligent sensing, autonomous planning, health management, and distributed computing architectures, analyzes disparities between China and global leaders in application scope and cutting-edge theoretical innovation, and proposes prioritizing trustworthy verification of intelligence generation mechanisms, incremental-learning-driven capability growth, and lightweight spaceborne heterogeneous computing platforms to establish a holistic technology chain encompassing intelligent evaluation and hardware-software co-design for lifelong autonomous collaboration and evolution of spacecraft systems.