###### Abstract  
With the rapid development of the manufacturing industry toward intelligence and flexibility, traditional mechanical presses are unable to meet the increased stamping requirements due to the difficulties in achieving variable speed control and changing slide motion trajectories. Servo presses, driven directly by servo motors, can realize the flexible control of press movement and have become the trend in the industry for future development. The independent research and development of servo press control systems has become a popular topic and challenge in the domestic press industry. This paper proposes a new type of press transmission mechanism suitable for high-precision stamping, analyzes the working principle of its transmission mechanism, and provides a detailed analysis and discussion on the main research methods of fuzzy intelligent control for servo presses, including fuzzy model and basic control algorithms, fuzzy modeling and control of nonlinear systems, fuzzy predictive control, and stability analysis of fuzzy control systems. Based on the principle of the control scheme, a closed-loop control system block diagram and mathematical model for servo high-precision presses are established. Taking the physical prototype parameters of the STSZG1-250 as an example, the control system is dynamically simulated and verified using Simulink modules. Finally, their role and effects in intelligent control, and prospects for the development of fuzzy intelligent control, are discussed. press; high-precision; servo; controller; intelligent algorithm; fuzzy control; stability; block diagram; Simulink simulation +
Footnote †: journal: Applied Sciences  
(1) It should be able to effectively globally control complex systems (nonlinear, fast time-varying, complex multivariable, environmental disturbances, etc.) and have strong fault tolerance;  
(2) It is a multimodal combination control of qualitative decision and variable control;  
(3) Its basic purpose is to analyze and synthesize the system from the perspective of system function and overall optimization to achieve predetermined goals, and should have self-organizing capabilities;  
(4) It simultaneously has a non-mathematical general model represented by knowledge and a mixed control process represented by mathematical models. Human knowledge plays an important coordinating role in control, and the system has both mathematical operations and logical and knowledge inference in information processing. Fuzzy control is a form of intelligent control. Although modern computers have extremely high computing speed and large storage capacity, they cannot complete some tasks that seem very simple to humans. An important reason for this is the ability of fuzzy decision-making and inference, and fuzzy control attempts to imitate this human function. With the development of modern manufacturing, the demand for plastic processing, the formation of powders, difficult-to-form materials, parts with complex shapes, and composites, and high-precision formation is becoming increasingly strong [3]. Today, with the concept of \"Green Manufacturing\" becoming the main trend for the sustainable development of the manufacturing industry, the performance of traditional presses can no longer meet the requirements of the changing forming processes. Therefore, servo presses have emerged, with wide application prospects in the field of high-precision and difficult-to-form parts processing such as automotive parts and electronic parts. Servo presses are mainly used in production lines and try-out presses for deep drawing, blanking, bending, and cold forging [4]. By using numerical control technology, the stroke of the slider and the processing curve can be controlled to improve processing efficiency; after feedback control, the system accuracy is greatly improved; the output force and motion trajectory of the slider can also be controlled.