| Title |
Depth Control of Underwater Flight Vehicle Using Fuzzy Sliding Mode Controller and Neural Network Interpolator |
| Authors |
김현식(Kim, Hyun-Sik) ; 박진현(Park, Jin-Hyun) ; 최영규(Choi, Young-Kiu) |
| Keywords |
Underwater Flight Vehicle ; Fuzzy Sliding Mode Controller ; Neural Network Interpolator |
| Abstract |
In Underwater Flight Vehicle depth control system, the followings must be required. First, it needs robust performance which can get over modeling error, parameter variation and disturbance. Second, it needs accurate performance which have small overshoot phenomenon and steady state error to avoid colliding with ground surface or obstacles. Third, it needs continuous control input to reduce the acoustic noise and propulsion energy consumption. Finally, it needs interpolation method which can sole the speed dependency problem of controller parameters. To solve these problems, we propose a depth control method using Fuzzy Sliding Mode Controller with feedforward control-plane bias term and Neural Network Interpolator. Simulation results show the proposed method has robust and accurate control performance by the continuous control input and has no speed dependency problem. |