摘要
管内智能封堵器可以在不停输的情况下进行管内高压封堵作业,无需在管道上开孔,工作效率高。为进一步提高封堵器在流场中的稳定性,通过对气动控制系统进行分析,利用Matlab/Simulink软件建立了气动系统的数学模型;利用RBF神经网络建立了封堵器尾部压力和涡量与扰流板角度之间的非线性映射关系,并与气动系统和扰流板运动相关联,采用主动控制方式对管内流场压力和涡量进行控制,同时为提高系统控制精度,引入了PID控制器,并采用遗传算法在线调整PID参数,对管内流场进行了仿真。仿真结果表明:改进PID控制相比于传统PID控制超调量小,可以保证压力和涡量快速准确地下降到目标值,实现对管内流场的精确控制,降低封堵器所受的冲击;使压力和涡量达到最佳状态的时间为1.7 s,此时对应的扰流板翻转角度大约为32°,对应的压力为13.9 MPa,涡量为355.4 s^(-1)。所得结论对保证管内智能封堵器作业的稳定性有重要意义。
The internal intelligent plug can carry out high-pressure plugging operation in pipeline without stopping transportation;without opening hole in pipe,the work efficiency is high.In order to further improve the stability of the plug in the flow field,by means of analyzing the pneumatic control system,the Matlab/Simulink software was used to build the mathematical model of pneumatic system.The RBF neural network was used to establish the nonlinear mapping relationship between the tail pressure and vorticity of the plug and the angle of the interceptor,which is correlated with the pneumatic system and the motion of the interceptor.Active control mode was used to control the flow field pressure and vorticity in the pipe.In order to improve the control accuracy of the system,the PID controller was introduced,and the genetic algorithm was used to adjust the PID parameters on line to simulate the flow field in the pipeline.The simulation results show that the overshoot of the improved PID control is smaller than that of the traditional PID control,which can ensure the pressure and vorticity to decrease rapidly and accurately to the target value,realize the accurate control of the flow field in the pipeline and reduce the impact received by the plug;the time to make the pressure and vorticity reach the optimal state is 1.7 s,the corresponding interceptor turning angle is about 32°,the corresponding pressure is 13.9 MPa,and the vorticity is 355.4 s^(-1).The conclusions are of great significance to ensuring the stability of the plugging operation.
作者
苗兴园
赵弘
Miao Xingyuan;Zhao Hong(College of Mechanical and Transportation Engineering,China University of Petroleum(Beijing))
出处
《石油机械》
北大核心
2021年第6期51-60,共10页
China Petroleum Machinery
基金
国家自然科学基金项目“海底油气管道封堵致振机理及气动减振控制方法研究”(51575528)。
作者简介
第一作者:苗兴园,生于1996年,2019年毕业于中国石油大学(北京)机械设计制造及其自动化专业,现为在读硕士研究生,研究方向为机电系统控制及其自动化。地址:(102249)北京市昌平区。E-mail:miaoxingyuan96@126.com。
