基于AMESim及MATLAB/Simulink联合仿真的风帆转角复合控制

何建海, 张建霞

机床与液压 ›› 2022, Vol. 50 ›› Issue (4) : 140-145.

PDF(6633 KB)
PDF(6633 KB)
机床与液压 ›› 2022, Vol. 50 ›› Issue (4) : 140-145. DOI: 10.3969/j.issn.1001-3881.2022.04.027
建模与仿真

基于AMESim及MATLAB/Simulink联合仿真的风帆转角复合控制

  • 何建海1,2, 张建霞3
作者信息 +

Compound Control of the Sail Angle Based on AMESim-MATLAB/Simulink Co-simulation

  • HE Jian-hai1,2, ZHANG Jian-xia3
Author information +
文章历史 +

摘要

为了稳定准确控制风帆转角位置,根据所设计的风帆驱动控制液压系统原理,提出风帆转角/速度复合控制方案。利用AMESim-MATLAB/Simulink软件建立风帆转角/速度复合控制联合仿真模型,并进行了联合仿真及实验研究。结果表明:采用复合控制可以克服常规控制中出现的压力波动及启停时的液压冲击;在不同转角速度及不同风力负载条件下,风帆均能按照规划的速度及位移进行转动,体现了复合控制的有效性和可靠性,可以为风帆助航船的风帆控制提供技术支持。

Abstract

In order to stably and accurately control the position of the sail angle, according to the principle of the sail driving control hydraulic system, the integrated coordinated control scheme of the sail angle/speed was proposed. The compound control joint simulation model of the sail angle/speed was established by using AMESim-MATLAB/Simulink software and joint simulation and experimental research were carried out.The results show that the compound control can overcome the pressure fluctuation and hydraulic shocks that occur in conventional control when starting and stopping; under different rotational speed requirements and different load forces, the sail can be controlled according to the planned speed and displacement, which reflects the effectiveness and reliability of the compound control, and can provide technical support for the sail control of the sail assisted ship.

关键词

风帆液压控制 / 复合控制 / 控制策略 / 联合仿真

Key words

Sail hydraulic control / Compound control / Control scheme / Co-simulation

引用本文

导出引用
何建海, 张建霞. 基于AMESim及MATLAB/Simulink联合仿真的风帆转角复合控制[J]. 机床与液压, 2022, 50(4): 140-145 https://doi.org/10.3969/j.issn.1001-3881.2022.04.027
HE Jian-hai, ZHANG Jian-xia. Compound Control of the Sail Angle Based on AMESim-MATLAB/Simulink Co-simulation[J]. Machine Tool & Hydraulics, 2022, 50(4): 140-145 https://doi.org/10.3969/j.issn.1001-3881.2022.04.027

参考文献

[1] 王分良.EEDI时代的船舶减排[J].中国船检,2009(8):62-65.WANG F L.Emission R shipping in EEDI time[J].China Ship Survey,2009(8):62-65.
[2] 何建海,胡以怀,张建霞,等.风能在船舶上的应用现状及展望[J].船舶工程,2013,35(5):112-115.HE J H,HU Y H,ZHANG J X,et al.Current situation and prospect of wind energy application on ship[J].Ship Engineering,2013,35(5):112-115.
[3] 何建海,胡以怀,张建霞,等.风帆驱动控制策略的研究[J].液压与气动,2014(4):85-88.HE J H,HU Y H,ZHANG J X,et al.The study of drive control for sail of the sail-assisted ship[J].Chinese Hydraulics& Pneumatics,2014(4):85-88.
[4] 徐兵.采用蓄能器的液压电梯变频节能控制系统研究[D].杭州:浙江大学,2001.XU B.Research on inverter controlled hydraulic elevator energy-saving system applying pressure accumulators[D].Hangzhou:Zhejiang University,2001.
[5] 赵志强,马冉祺,冯宝辉,等.基于AMESim风翼回转液压系统动态响应分析[J].大连海事大学学报,2014,40(1):66-69.ZHAO Z Q,MA R Q,FENG B H,et al.Dynamic response of wing-sail slewing hydraulic system based on AMESim[J].Journal of Dalian Maritime University,2014,40(1):66-69.
[6] 赵志强,闫亚胜,黄连忠,等.翼帆回转实验台液压系统实验特性研究[J].液压与气动,2014(9):15-18.ZHAO Z Q,YAN Y S,HUANG L Z,et al.Experimental features of wing-sail slewing hydraulic system[J].Chinese Hydraulics& Pneumatics,2014(9):15-18.
[7] 刘绪儒.风翼回转液压系统特性研究[D].大连:大连海事大学,2013.LIU X R.Characteristic research on slewing hydraulic system of wing-sail[D].Dalian:Dalian Maritime University,2013.
[8] 刘微容,任成文,刘婕,等.基于单神经元PID自适应的液压型风力发电机组恒转速控制[J].机床与液压,2020,48(16):104-107.LIU W R,REN C W,LIU J,et al.Constant speed control of hydraulic type wind turbine based on single neuron adaptive PID[J].Machine Tool& Hydraulics,2020,48(16):104-107.
[9] 江小霞,朱钰.船舶舵机单神经元自适应PID控制的研究[J].船舶工程,2009,31(4):56-58.JIANG X X,ZHU Y.Study on the adaptive single-neuron PID control system of ship steering gear[J].Ship Engineering,2009,31(4):56-58.
[10] 施虎,龚国芳,杨华勇,等.基于单神经元的盾构推进速度自适应PID控制[J].中国机械工程,2009,20(2):138-141.SHI H,GONG G F,YANG H Y,et al.Adaptive PID control for thrust speed of shield based on single neuron[J].China Mechanical Engineering,2009,20(2):138-141.
[11] 杨西,岑豫皖,叶小华,等.基于单神经元PID策略的液压折弯机同步控制研究[J].机床与液压,2017,45(5):119-123.YANG X,CEN Y W,YE X H,et al.Synchronous control research for hydraulic bending machine based on single neuron PID strategy[J].Machine Tool& Hydraulics,2017,45(5):119-123.
[12] 付永领,祁晓野.LMS Imgine.Lab AMESim系统建模和仿真参考手册[M].北京:北京航空航天大学出版社,2011.
[13] 陈宏亮,李华聪.AMESim与Matlab/Simulink联合仿真接口技术应用研究[J].流体传动与控制,2006(1):14-16.CHEN H L,LI H C.Research on application and the interfacial technology of AMESim-Matlab/Simulink co-simulation[J].Fluid Power Transmission and Control,2006(1):14-16.

基金

上海工程技术大学科研项目(GZ20-2)
PDF(6633 KB)

637

Accesses

0

Citation

Detail

段落导航
相关文章

/