Abstract: In the injection molding process, the injection speed plays a decisive role in the quality of plastic products. In the actual injection molding process, the injection molding machine may be subjected to disturbances, which makes the injection speed unable to track the desired speed, ultimately affecting the product quality. To address this issue, this paper first describes the injection molding process and establishes a model for the injection section of the injection molding process. The injection section model is characterized by strong nonlinearity and uncertainty, making it difficult to design a controller using traditional strategies. Aiming at this problem, this paper establishes a data model with iterative characteristics, designs and implements an injection section speed control strategy The learning of pseudo partial derivatives on the iterative axis based on the optimal quadratic index function. In order to suppress the influence of external disturbances on the injection speed, a decay factor is introduced based on the proposed MFAILC (Model-Free Adaptive Iterative Learning Control) strategy, and it is proved in the sense of expectation that the mean value of the output tracking error of the MFAILC algorithm is zero. Finally, an example is used in MATLAB to verify the feasibility of the control strategy proposed in this paper.