Milad Yazdanpanah - Department of Electrical Engineering, science and research branch of Azad University, Iran
Alireza Nateghi - Faculty of Electrical and Computer Engineering, Shahid Sattari University of Aeronautical Engineering, Iran
hassan Zare - Department of Electrical Engineering, Technical and Vocational University (TVU), Iran

In this paper, control of shimmy vibration of aircraft nose landing gear is presented. In this regard, the NARMA-L۲ 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-L۲ 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.

Aircraft, Fuzzy controller, NARMA-L۲, Neural Controller, Suspension Oscillations