Lqg design of ship steering control systems

2005 ◽  
pp. 387-413 ◽  
Author(s):  
M. J. Grimble ◽  
M. R. Katebi
Keyword(s):  
Control Systems ◽  
Steering Control ◽  
Ship Steering

Anomalous Behavior of Merchant Ship Steering Systems

1970 ◽  
Vol 7 (02) ◽  
pp. 205-215 ◽  
Author(s):  
Robert Taggart
Keyword(s):  
High Speed ◽  
Mechanical Characteristics ◽  
Anomalous Behavior ◽  
Similar Response ◽  
Steering Control ◽  
Unstable Condition ◽  
Ship Steering ◽  
Merchant Ship ◽  
Automatic Steering ◽  
And Control

An unusual combination of circumstances occurring during an Atlantic crossing of a highspeed containership created a situation where the rudder, acting in response to automatic steering control demands, caused excessive ship rolling. Further investigation revealed the existence of an unstable condition due to a combination of asymmetrical hydrodynamic and mechanical characteristics and the interrelationship of ship motion and control actuation. Similar response has been noted on other high-speed vessels and is a cause for major concern in future containership operations. The elements involved in creating these conditions have been examined in detail and a plausible explanation has been evolved as to how they can combine to produce the observed results. With an understanding of the causes of this anomalous behavior it is possible to devise means for preventing its occurrence in future designs.

scholarly journals The Effect of Large-Scale Structures on the Stability of Coal-Face Steering

1984 ◽  
Vol 198 (1) ◽  
pp. 29-40 ◽  
Author(s):  
J B Edwards
Keyword(s):  
Control Systems ◽  
Large Scale ◽  
Steering System ◽  
Rigid Support ◽  
Steering Control ◽  
Coal Face ◽  
Large Scale Structures ◽  
General Terms ◽  
Scale Structures ◽  
The Stability

Simplified models of piecewise rigid support structures for power-loaders operating on longwall coal-faces are shown to be amenable to analysis by z-transform methods. Such analysis predicts that increasing sufficiently the length of the sub-sections of the structure (compared to the inherent delay within the vertical steering system of the machine) should stabilize the vertical steering of the entire coalface. Increasing the width of the structure to embrace more than two consecutive cut floors is shown analytically to eliminate the need for electronic tilt-feedback in control systems. In general terms, these analytical predictions are shown to hold good in detailed simulations of the system that eliminate the simplifications demanded by the analytical method. The general conclusion of the work is therefore that an increase in the size of support structure segments can potentially reduce the complexity of steering control systems. The size-increase must be substantial, e.g. to four to five times the size of conventional structures.

scholarly journals Ship Steering Control Based on Quantum Neural Network

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Wei Guan ◽  
Haotian Zhou ◽  
Zuojing Su ◽  
Xianku Zhang ◽  
Chao Zhao
Keyword(s):  
Neural Network ◽  
Good Control ◽  
Learning Rate ◽  
Steering Control ◽  
Quantum Neural Network ◽  
Planning And Control ◽  
Fast Learning ◽  
Ship Steering ◽  
Learning Capabilities ◽  
And Control

During the mission at sea, the ship steering control to yaw motions of the intelligent autonomous surface vessel (IASV) is a very challenging task. In this paper, a quantum neural network (QNN) which takes the advantages of learning capabilities and fast learning rate is proposed to act as the foundation feedback control hierarchy module of the IASV planning and control strategy. The numeric simulations had shown that the QNN steering controller could improve the learning rate performance significantly comparing with the conventional neural networks. Furthermore, the numeric and practical steering control experiment of the IASV BAICHUAN has shown a good control performance similar to the conventional PID steering controller and it confirms the feasibility of the QNN steering controller of IASV planning and control engineering applications in the future.

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