Fuzzy neural network PID (proportion integration differentiation) control system and fuzzy neural network PID control method for fin stabilizer

Abstract

The invention provides a fuzzy neural network PID (proportion integration differentiation) control system and a fuzzy neural network PID control method for a fin stabilizer. After quantization, address mapping and CMAC storage are performed on a detected sea wave dip angle signal by a CMAC (cerebellar model articulation controller) neural network feed-forward control unit, by combining online learning of a fin angular displacement signal output by a fuzzy PID controller, CMAC operation is performed on the fin angular displacement signal and the quantized sea wave dip angle signal to obtain a fin stabilizer anti-interference offset angular displacement signal to be input into a fin stabilizer servodrive unit; a PLC (programmable logic controller) control unit is used for receiving signals detected by a velocity log and an angular velocity sensor, and the signals are output to the fuzzy PID controller after being fitted; the fin angular displacement signal processed by the fuzzy PID controller is sent to the fin stabilizer servodrive unit; the fin stabilizer is driven to rotate by the fin stabilizer servodrive unit according to the fin angular displacement signal and the offset angular displacement signal, and moreover, an angular displacement sensor is used for detecting a current fin angular displacement signal of the fin stabilizer, and the current fin angular displacement signal is sent onward to the fuzzy PID controller after the current fin angular displacement signal and the fin angular displacement signal sent by the PLC control unit are subtracted to drive the fin stabilizer to perform adaptive adjustment, and therefore, the adaptability of a control process is improved.

Description

Technical field [0001] The invention relates to the technical field of ship fin stabilizers, in particular to a fin stabilizer fuzzy neural network PID control system and method. Background technique [0002] When a ship is sailing in the water, due to the influence of waves, wind and currents, the ship will inevitably produce various swaying, of which the rolling is the most significant and the most important. The violent shaking has a great impact on the navigability and safety of the ship, as well as the normal operation of the equipment, the fixation of the cargo and the comfort of the crew. For this reason, people have been looking for ways to reduce ship rolling, and developed a variety of ship rolling motion control devices to reduce ship rolling, mainly including bilge keel, fin stabilizer and anti-rolling tank. The fin stabilizer is one of the most commonly used active anti-roll devices. It is divided into retractable fin stabilizers and non-retractable fin stabilizers....

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defects or deficiencies in the prior art, the purpose of the present invention is to provide a fin stabilizer fuzzy neural network PID control system, which solves the problem that the existing ship fin stabilizer control system does not respond in time in a complex water flow environment and causes the ship to sail incorrectly. Stable defects and solve the problem of inconvenient remote monitoring of drive units

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