In this paper, control of shimmy vibration of aircraft nose landing gear is presented. In this regard, the NARMA-L2 neural controller and a robust controller using a fuzzy method are designed and compared. The efficiency of these controllers was measured by comparing the results obtained from CTM and PID controllers. Using the NARMA-L2 neural controller, maximum effort and settling time are improved whereas using fuzzy controller overshoot of the vibration response improvement in the closed-loop system was observed. According to these results, a large part of the design requirements can be solved by the implemented controllers. Manuscript profile