Ship course intelligence controller based on incomplete recursive branch-set dynamic neural network
Patent Information
- Authority / Receiving Office
- CN Β· China
- Current Assignee / Owner
- CHANGAN UNIV
- Publication Date
- 2016-03-30
- Estimated Expiration
- Not applicable Β· inactive patent
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Abstract
Description
technical field
[0001] The invention relates to the field of computer intelligent ship motion control, in particular to an intelligent ship heading controller based on an incomplete recursive support dynamic neural network model. Background technique
[0002] Ship motion is a complex control problem, which is a dynamic process with large inertia, large time delay, nonlinearity and time-varying parameters. For example, the time constant of a 10,000-ton oil tanker can reach more than 100s, and the response to the rudder is slow. Some open-loop unstable ships even have an abnormal response to the rudder (turning the right rudder bow within a certain rudder angle limit turns left instead. ), its control is quite difficult. At the same time, the motion characteristics of the ship change with the speed, load, trim, water depth and other factors, and the disturbance characteristics also vary with the sea conditions such as waves, winds, and currents. Therefore, the ship motion con...