When the aircraft towbarless towing vehicle (TLTV) drives on road surfaces that are wet, icy, oily, or covered with debris, as well as under conditions such as overloaded towing, uneven distribution of aircraft weight, sudden acceleration and sharp turns, brake system failures, or severe tire wear, it may slip due to a mismatch between traction force and ground adhesion. As a key piece of ground support equipment at airports, the anti-slip performance of TLTV is crucial for ensuring safe and efficient ground movement of aircraft. With continuous advancements in control technology, extensive research has been conducted on anti-slip control strategies for TLTV. This paper reviews relevant literature in the field of anti-slip control for TLTV in recent years, focusing on the current status of anti-slip control technology development, control strategies, and the application of co-simulation technology in anti-slip control. Based on co-simulation using Matlab and Adams software, this paper employs a fuzzy PI control algorithm to optimize the traditional PI control algorithm for dual closed-loop control and analysis of the rotational speed and current of the Permanent Magnet Synchronous Motor (PMSM) in the TLTV. The results indicate that the control algorithm is a primary factor affecting stability. A comparative analysis of stability data before and after optimization reveals that the optimized control system exhibits stronger anti-interference capability, thereby enhancing the stability of the TLTV system. The control strategy demonstrates significant effects in improving the anti-slip performance of TLTV. The use of Matlab and Adams co-simulation technology provides effective means for analyzing and verifying anti-slip control strategies. The future development trend of anti-slip control technology for TLTV will emphasize intelligence, precision, and integration to adapt to diverse airport operating environments and improve the safety and efficiency of traction operations.