Model reference adaptive autopilots for ships
Automatica (Journal of IFAC)
Identification of ship steering dynamics
Automatica (Journal of IFAC)
Paper: Theory and applications of self-tuning regulators
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Experiences of system identification applied to ship steering
Automatica (Journal of IFAC)
Brief paper: Self-tuning control of a chip refiner motor load
Automatica (Journal of IFAC)
Paper: Practical issues in the implementation of self-tuning control
Automatica (Journal of IFAC)
Adaptive steering of ships-A model reference approach
Automatica (Journal of IFAC)
Paper: A stochastic rudder control law for ship path-following autopilots
Automatica (Journal of IFAC)
Theory and applications of adaptive control-A survey
Automatica (Journal of IFAC)
Survey Research on gain scheduling
Automatica (Journal of IFAC)
DSC approach to adaptive NN control on a ship linear-path following
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Automatica (Journal of IFAC)
Hi-index | 22.16 |
Two adaptive autopilots for ships are designed. The autopilots are based on velocity scheduling, a self-tuning regulator for steady state course keeping, a high gain turning regulator with variable structure and a Kalman filter. Methods for design of the autopilots are discussed. Results from simulations and full-scale experiments with three different tankers are presented. The autopilots are shown to work excellently under different load, speed, and weather conditions.