Estimation of Observer Parameters for Dynamic Positioning Ships

Considering the problem of dynamic positioning systems for the slowly varying disturbances, a parametrically adaptive observer is presented. The peak frequency of observer is adjusted on-line by autoregressive (AR) spectral estimation; other parameters of observer are optimized using particle swarm optimization (PSO). The peak frequency can be calculated by spectral analysis of the pitch, roll, and heave measurements. In the spectral estimation, Levinson-Durbin algorithm is used to solve the Yule-Walker equations. Finally, the computer simulation is given to demonstrate the effectiveness of the proposed method.

[1]  Kai Zheng,et al.  Nonlinear controller design for permanent magnet synchronous motor using adaptive weighted PSO , 2010, Proceedings of the 2010 American Control Conference.

[2]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[3]  Thor I. Fossen,et al.  Nonlinear passive observer design for ships with adaptive wave filtering , 1999 .

[4]  Alexandre N. Simos,et al.  Estimating directional wave spectrum based on stationary ship motion measurements , 2003 .

[5]  Rong-Jong Wai,et al.  Design of backstepping particle-swarmoptimisation control for maglev transportation system , 2010 .

[6]  Ahmed A. Abo-Ismail,et al.  Parameter Tuning via Genetic Algorithm of Fuzzy Controller for Fire Tube Boiler , 2012 .

[7]  W. Marsden.  I and J , 2012 .

[8]  Zwe-Lee Gaing,et al.  A particle swarm optimization approach for optimum design of PID controller in AVR system , 2004 .

[9]  Zwe-Lee Gaing.  A particle swarm optimization approach for optimum design of PID controller in AVR system , 2004, IEEE Transactions on Energy Conversion.

[10]  Thor I. Fossen,et al.  Marine Control Systems Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles , 2002 .

[11]  J Pardey,et al.  A review of parametric modelling techniques for EEG analysis. , 1996, Medical engineering & physics.

[12]  Asgeir J. Sørensen,et al.  DESIGN OF A DYNAMIC POSITIONING SYSTEM USING MODEL-BASED CONTROL , 1995 .

[13]  Thor I. Fossen,et al.  Passive nonlinear observer design for ships using Lyapunov methods: full-scale experiments with a supply vessel , 1999, Autom..