为提升舰船机电自动控制效果，设计贝叶斯统计模型的舰船机电自动控制系统。现场设备层采集舰船机电设备运行数据，利用贝叶斯统计模型检测运行数据内的异常值，并剔除异常值，可编程逻辑控制器依据机电设备运行数据，确定机电控制向量；用户操作终端依据控制向量，生成舰船机电控制指令，经由传输层传输至现场设备层，利用执行机构按照控制指令自动控制机电设备。实验证明，该系统可有效采集舰船机电设备运行数据，并实现异常值检测，精准自动控制舰船机电。
In order to improve the effectiveness of ship electromechanical automatic control, a Bayesian statistical model of ship electromechanical automatic control system was designed. The on-site equipment layer collects operational data of ship electromechanical equipment, uses Bayesian statistical models to detect outliers within the operational data, and removes outliers. The programmable logic controller determines the electromechanical control vector based on the operational data of electromechanical equipment. The user operation terminal generates ship electromechanical control instructions based on the control vector, which are transmitted to the on-site equipment layer through the transmission layer. The execution mechanism automatically controls the electromechanical equipment according to the control instructions. The experiment proves that the system can effectively collect operational data of ship electromechanical equipment and achieve outlier detection. This system can accurately and automatically control the ship's electromechanical system.
2023,45(19): 151-154 收稿日期：2023-03-09
DOI：10.3404/j.issn.1672-7649.2023.19.027
分类号：U664.8
基金项目：重庆移通学院数学课程思政改革与实施（YTJG202166）
作者简介：熊欧(1981-),女,硕士,讲师,研究方向为时间序列
参考文献：
[1] 杨植, 严新平, 欧阳武, 等. 船舶轮缘推进装置驱动电机及控制方法研究进展[J]. 电工技术学报, 2022, 37(12): 2949-2960.
YANG Zhi, YAN Xin-ping, OUYANG Wu, et al. A review of electric motor and control technology for rim-driven thruster[J]. Transactions of China Electro technical Society, 2022, 37(12): 2949-2960.
[2] 郭燚, 王超, 解文祥. 用于船舶永磁推进电机驱动控制的MMC模型预测方法[J]. 中国舰船研究, 2021, 16(4): 179-189,198.
GUO Yi, WANG Chao, XIE Wen-xiang. MMC model predictive control method applied to ship permanent magnet propulsion motor drive[J]. Chinese Journal of Ship Research, 2021, 16(4): 179-189,198.
[3] 张庆飞, 赵镜红, 严思念, 等. 船用五相感应电机模型预测电流控制研究[J]. 微特电机, 2023, 51(1): 45-49.
ZHANG Qing-fei, ZHAO Jing-hong, YAN Si-nian, et al. Research on model predictive current control of marine five-phase induction motor[J]. Small & Special Electrical Machines, 2023, 51(1): 45-49.
[4] 白洪芬, 余波, 顾伟. 电力推进船舶电机无模型滑模控制策略研究[J]. 船舶工程, 2022, 44(10): 92-99.
BAI Hong-fen, YU Bo, GU Wei. Research on model-free sliding mode control strategy of electric propulsion ship motor[J]. Ship Engineering, 2022, 44(10): 92-99.
[5] 孙志豪, 黄文焘, 卫卫, 等. 船舶大功率电力推进虚拟同步电机控制方法[J]. 电力自动化设备, 2022, 42(11): 106-113.
SUN Zhi-hao, HUANG Wen-tao, WEI Wei, et al. Virtual synchronous machine-based control method for high power electric propulsion of ship[J]. Electric Power Automation Equipment, 2022, 42(11): 106-113.
[6] 赵远英, 徐登可, 冉庆. 泊松逆高斯回归模型的贝叶斯统计推断[J]. 应用数学, 2021, 34(2): 253-261.
ZHAO Yuan-ying, XU Deng-ke, RAN Qing. Bayesian statistical inferences for poisson inverse gaussian regression models[J]. Mathematica Applicata, 2021, 34(2): 253-261.
