Abstract: With the deep integration of artificial intelligence, wireless communication, and autonomous systems, UAV swarms are witnessing expanding applications in critical domains such as intelligent transportation, disaster relief, space exploration, and military operations. Cooperative control, as the core technology for overcoming the limitations of individual platforms, has become a key research focus in this field. This paper systematically summarizes and thoroughly investigates the research progress and future trends in cooperative control technologies for UAV swarms. Firstly, we comparatively analyze the operating principles, technical advantages, and application constraints of three typical control architectures: decentralized, centralized, and distributed. Secondly, we comprehensively review the state-of-the-art research on classical and intelligent cooperative control methods, systematically summarizing their strengths and weaknesses. Finally, addressing frontier challenges including individual robustness, swarm heterogeneity, and adaptability to complex environments, potential development directions for UAV swarm cooperative control technologies are discussed.