Abstract: Sliding model control is applied to a low-speed friction servo system. Simulation results show that the low-speed friction servo system using sliding model control can achieve high-precision tracking and has good robustness. Its control effect is significantly better than the traditional PID control method. Keywords: Sliding model control; Low-speed friction servo system; Simulation In high-precision, ultra-low-speed servo systems, the presence of nonlinear friction elements greatly affects the dynamic and static performance of the system. This is mainly manifested in crawling at low speeds and large steady-state errors or limit cycle oscillations in steady state. Friction is a complex, nonlinear, and uncertain natural phenomenon. Tribological research shows that our current understanding of the physical processes of friction is only qualitative, and we cannot provide a precise mathematical description of the friction process. Friction is ubiquitous in real life. In some cases, friction is desirable, such as in automotive braking systems. However, for mechanical servo systems, friction becomes an obstacle to improving system performance, causing crawling, oscillation, or steady-state errors. To mitigate the negative impact of friction in mechanical servo systems, many effective methods have been developed through extensive practice, such as modifying the structural design of the mechanical servo system to reduce transmission links; selecting better lubricants to reduce the difference between dynamic and static friction; and employing appropriate control compensation methods to compensate for friction forces. From a control perspective, sliding mode variable structure control (SMC) can be used to mitigate the adverse effects of friction in mechanical servo systems. Simulation results show that SMC can eliminate the "flat-top" and "dead zone" phenomena caused by friction in servo systems and has good robustness. For details, please click: Application of Sliding Mode Control in Low-Speed ​​Friction Servo Systems