The theoretical dynamic model of ball screw feeding system was firstly established, and the characteristics of its response transfer function were analyzed. Then the integrated model of ball screw feeding drive system based on digital module simulation was constructed. The optimization method of ball screw feed drive dynamic performance based on the scalable control optimization model was proposed. The scalable dynamic characteristic index evaluation function for comprehensive performance estimation was constructed. The dynamic performance evaluation index function can be established in real time according to the requirement of dynamic performance optimization. Based on the above, with the definition of motion path planning, by the genetic optimization algorithm, the dynamic performance optimization of ball screw feed drive system oriented to scalable comprehensive index evaluation was realized finally. By experimental test and case analysis, the validity of the theoretical dynamic modeling of ball screw feeding system and its analysis conclusion, integrated model of ball screw feeding drive system based on digital module simulation, and also dynamic performance optimization method based on the scalable control optimization model were verified. The method provided a reference for dynamic performance optimization of ball screw feed system.