FIELD: physics; control.
SUBSTANCE: group of inventions relates to a method for automatic control of heading of a ship and an intelligent system for automatic control of heading of a ship. The method involves using a neural network model of the control object as a model of the control object. In order to adjust fuzzy logic algorithm parameters to be adjusted, the method involves obtaining and identifying heading data of the ship and control data; determining criteria feature data of movement of the ship based on the identified heading data of the ship and control data using a database of the behaviour of the ship on the heading; selecting a neural network model of the control object based on the determined criteria feature data of movement of the ship; determining data of the fuzzy logic algorithm parameters to be adjusted in accordance with the selected neural network model of the control object. The intelligent system includes a fuzzy logic controller, an emulator for correcting control action, feedforward and feedback between the control object, the fuzzy logic controller and the emulator. The emulator is in form of a neural network emulator. The neural network emulator includes a neural network classifier, a neural network model unit of the control object and an optimisation unit. The neural network classifier includes a database of the behaviour of the ship on the heading.
EFFECT: high-speed control processes and efficiency of filtering random perturbations of the system.
14 cl, 6 dwg, 3 tbl
Title | Year | Author | Number |
---|---|---|---|
NEURAL NETWORK REGULATOR FOR CONTROLLING SHIP HEADING | 2007 |
|
RU2359308C2 |
METHOD AND SYSTEM FOR CONTROL OF VESSEL LOCATION BY MEANS OF FUZZY LOGIC | 2018 |
|
RU2678762C1 |
NEURON NETWORK CONTROL FOR CALCINATION PROCESS CONTROL IN SHAFT-TYPE FURNACES | 2009 |
|
RU2445668C2 |
METHOD OF MONITORING EMERGENCY SITUATIONS IN CONDITIONS OF UNCERTAINTY OF MEDIUM | 2015 |
|
RU2589367C1 |
METHOD FOR DESIGNING A MULTI-MODE INTELLIGENT CONTROL SYSTEM OF DISTRIBUTED ENVIRONMENT OF SOFT COMPUTATIONS | 2014 |
|
RU2596992C2 |
METHOD OF PREVENTING MARINE VESSELS COLLISION | 2017 |
|
RU2672236C2 |
METHOD TO CONTROL SHIP STRENGTH AND VIBRATION AND DEVICE TO THIS END | 2007 |
|
RU2363935C1 |
AUTOMATIC SYSTEM FOR CONTROLLING MOVEMENT OF MOBILE OBJECT AND METHOD FOR AUTOMATIC CONTROL OF MOVEMENT OF MOBILE OBJECT | 2009 |
|
RU2451593C2 |
SYSTEM FOR DETECTION AND CLASSIFICATION OF SEA TARGETS USING MATHEMATICAL MODEL OF TARGET TYPE DETERMINATION | 2020 |
|
RU2726992C1 |
METHOD FOR DIAGNOSING INFORMATION-CONVERTING ELEMENTS OF AIRCRAFT ON-BOARD EQUIPMENT BASED ON MACHINE LEARNING | 2022 |
|
RU2802976C1 |
Authors
Dates
2014-06-10—Published
2012-08-01—Filed