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The torque vibration of aircraft engines can cause resonance in the fuselage, leading to increased vibration and structural failure. In order to ensure the safety of the aircraft, a fuzzy control technology for aircraft engine torque vibration based on torque amplitude dynamic signal denoising is designed. Based on the dynamic analysis results of the entire aircraft engine, clarify its vibration characteristics such as amplitude, frequency, and phase during operation. Based on this, MEMS acceleration sensors are used to collect the actual torque amplitude dynamic signals of aircraft engines, and singular spectrum analysis algorithms are used to denoise the collected dynamic signals and extract the main signal components. Design fuzzy control technology and use the denoised torque amplitude dynamic signal as the input variable to achieve fuzzy control of engine torque vibration. The test results indicate that the design control technology has the ability to adapt to different rotor displacement changes after application. Under different support stiffness, the torque vibration suppression rate of the designed control technology is relatively high. At the broadband state test point, the surface acceleration of the outer casing converges to within 0.04m/s2, while at the narrowband state test point, the surface acceleration of the outer casing converges to around 0.03m/s2. Therefore, the design control technology has good control effects, which can ensure the stability of the aircraft engine and have high suppression performance.