Precise control of stage machinery directly affects the presentation effect and safety of performances. At present, many problems still exist in the multi-axis control of stage machinery, and the independent and controllable development of control technology for performing arts equipment has become an urgent demand for industrial development. Based on domestic chips as the hardware foundation, this study designs a fuzzy PID optimization algorithm adapted to stage machinery, builds a corresponding high-precision multi-axis collaborative control system, optimizes parameter tuning logic, and designs a distributed control architecture, high-precision trajectory planning, and error compensation strategies. Simulation verification and practical tests show that the algorithm can achieve motion control accuracy of ±0.5 mm, command response time ≤5 ms, and stable axis linkage deviation within ±0.5 mm in stage machinery control. The mean time between failures of the system exceeds 50,000 hours. Compared with imported controllers, this scheme reduces the cost of core controllers by 40% and shortens the delivery cycle by 60%, providing a feasible technical solution for the localization and intelligent control of stage machinery.