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基于半周期预测的减摇水舱控制方法及验证
引用本文:张松涛,陆健,梁利华,孙明晓. 基于半周期预测的减摇水舱控制方法及验证[J]. 自动化技术与应用, 2014, 0(4): 6-9,24
作者姓名:张松涛  陆健  梁利华  孙明晓
作者单位:[1]哈尔滨工程大学自动化学院,黑龙江哈尔滨150001 [2]中国舰船研究设计中心,上海201102
基金项目:工信部高技术船舶基金资助项目-减摇水舱开发研究;哈尔滨市科技创新人才专项基金资助项目(编号RC2013QN009035)
摘    要:可控被动式减摇水舱能够通过气阀控制空气连通道延长了水舱的固有周期,实现宽频船舶横摇减摇.关阀时刻和关阀时间与船体横摇运动规律相关,由于船体在海浪中的随机运动难以准确计算.小波神经网络的半周期预测控制方法,预测船体横摇的下一个半周期,实时计算控制参数,拓宽减摇频带.通过半实物仿真验证,较传统的方法减摇性能有明显提升.

关 键 词:减摇水舱  小波神经网络  半周期预测  固有周期

The Control Method and Test of Anti-Rolling Tank Based on Half Period Prediction
Affiliation:ZHANG Song-tao,LU Jian LIANG Li-hua( 1.College of Automation, Harbin Engineering University, Harbin 150001 China;)
Abstract:Wide-band stabilization can be realized by the controlled passive tank through lengthening the inherent period of the tank by controlling the air-channel with air-valves.The moment of closing valves and the closed spans of valves are determined according to the random motions of the ship.For improving the stabilization,a method of controlling antirolling tank based on a Wavelet Neural Network period predictive control is provided.The next half rolling period of the ship is predicted by WNN according to ship motions.The stabilization frequency band is broadened by opening/closing the air-valves.Semi-physical simulation shows that this method improves the stabilization effect significantly.
Keywords:anti-rolling tank  wavelet neural network  period predict  natural period
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