제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2001년도 ICCAS
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- Pages.173.4-173
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- 2001
Neural-Net Based Nonlinear Adaptive Control for AUV
- Li, Ji-Hong (Chungnam National University) ;
- Lee, Sang-Jeong (Chungnam National University) ;
- Lee, Pan-Mook (KRISO)
- 발행 : 2001.10.01
초록
This paper presents a stable nonlinear adaptive control for AUV(Autonomous Underwater Vehicle) by using neural network. AUV's dynamics are highly nonlinear, and their hydrodynamic coefficients vary with different operational conditions. In this paper, the nonlinear uncertainties of the AUV's dynamics are approximated by using LPNN(Linearly parameterized Neural Network). The presented controller is consist of three parallel terms; linear feedback control, sliding mode control, and adaptive control(LPNN). Lyapunov theory is used to guarantee the stability of tracking errors and neural network´s weights errors. Numerical simulations for nonlinear control of the AUV show the effectiveness of the proposed techniques.
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