With the rapid development of artificial intelligence and unmanned system technology, intelligent unmanned systems are increasingly widely used in the military field and their status is becoming increasingly important. However, the command and control of unmanned systems in complex battlefield environments remains a key challenge that restricts their effectiveness. Based on an analysis of the contradictions in the current command and control of intelligent unmanned systems and an analysis of command and control requirements, this paper proposes a parallel command and control framework for intelligent unmanned systems based on the parallel battlefield theory, aiming to achieve efficient, precise, and reliable control of intelligent unmanned systems. This framework combines virtual and real elements and integrates front-end and back-end systems, aiming to enhance the autonomy, collaboration, and adaptability of unmanned systems.