The active side stick(ASS) is a novel type of aircraft control stick. When malfunctions occur, the ASS may provide inaccurate force feedback. Minor issues can lead to the pilot"s misperception of the flight state, while severe problems can cause the control stick to shake or jerk, significantly compromising flight safety. Real-time performance monitoring of the ASS offers crucial early warnings before faults significantly affect control performance. Thorough research on the characteristics of ASS failures and their impact on the system is essential before implementing performance monitoring.To address this issue, an AMESim model of the ASS was developed. By employing methods such as Failure Mode and Effects Analysis(FMEA) and Fault Tree Analysis, several potential key faults were identified. The study explored how these faults impact ASS performance. Key faults were injected into the model to gather data on relevant state variables. This approach facilitated an analysis of fault characteristics and changes in state variables, providing a theoretical foundation for diagnosing faults in active side sticks.