首页|船舶燃气轮机启动转速自适应模糊滑模控制方法

船舶燃气轮机启动转速自适应模糊滑模控制方法

扫码查看
在复杂多变的海上运行环境下,针对减少船舶燃气轮机启动过程中的响应滞后时间、有效抑制外界干扰以及确保转速能够迅速达到并稳定至设定值的问题,提出了船舶燃气轮机启动转速自适应模糊滑模控制方法.通过Rowen模型,建立船舶燃气轮机数学模型;以该模型为基础,利用自适应模糊滑模控制算法,设计船舶燃气轮机启动转速控制器;采用变论域自适应模糊PID算法,根据实时转速偏差及其变化率,输出滑模控制器的自适应参数,用于调整滑模控制器的行为,以更好地抑制外界干扰;滑模控制器依据自适应参数,设计控制律,实现船舶燃气轮机启动转速的快速响应,减少响应滞后时间,使转速能够迅速达到并稳定至设定值.实验证明,该方法可有效快速控制船舶燃气轮机启动转速,负载扰动情况下,该方法启动转速控制的超调量较小.
An adaptive fuzzy sliding mode control method for starting speed of marine gas turbine
In the complex and ever-changing offshore operating environment,in order to reduce the response lag time during the start-up process of ship gas turbines,effectively suppress external interference,and ensure that the speed can quickly reach and stabilize to the set value,a self-adaptive fuzzy sliding mode control method for the starting speed of ship gas turbines is proposed.The mathematical model of Marine gas turbine is established by Rowen model.Based on the model,the adaptive fuzzy sliding mode control algorithm is used to design the starting speed controller of Marine gas turbine.The adaptive fuzzy PID algorithm in variable theory domain is used to output the adaptive parameters of the sliding mode con-troller according to the real-time speed deviation and its rate of change,which can be used to adjust the behavior of the slid-ing mode controller to restrain the external interference better.According to the adaptive parameters,the sliding mode con-troller designs the control law to realize the fast response of the starting speed of Marine gas turbine and reduce the response lag time,so that the speed can quickly reach and stabilize to the set value.Experimental results show that this method can ef-fectively and quickly control the starting speed of Marine gas turbine,and the overshoot of the starting speed control is small under load disturbance.

marine gas turbinestarting speedself-adaptationfuzzy PIDvariable domain

田彪、田宝元、王焕杰、高亚坤

展开 >

武汉船舶职业技术学院,湖北武汉 430050

船舶燃气轮机 启动转速 自适应 模糊PID 变论域

2024

舰船科学技术
中国舰船研究院,中国船舶信息中心

舰船科学技术

CSTPCD北大核心
影响因子:0.373
ISSN:1672-7649
年,卷(期):2024.46(24)