基于PID控制器的油气分离系统性能评价研究
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摘要
海上石油平台石油生产油气分离控制回路的控制器大都为PID控制器。而PID控制器可能会因工况变化及参数突变等原因导致系统发生时变而造成其性能下降。针对PID控制器性能可靠性提出基于最小方差控制的PID控制器性能评价方法,利用半实物仿真技术构建海上平台油气分离系统仿真测试模型,并以该模型对中控系统进行仿真研究。采用多总线技术保证仿真模型与计算机通信,实现对仿真系统平台参数的实时监控。最后,通过对测试模型仿真的结果表明PID实时评估算法可以有效提高中控系统的性能。
The control system as offshore oil platform connecting the core of the control aspects of the production.And PID controller as an important part of the control loop control system, often due to changes in working conditions and other causes varying parameters mutation occurs in the system and cause its performance may be degraded. In this paper, reliability of PID controller performance evaluation method based on minimum variance control for the PID controller. Construction of Offshore oil and gas separation system simulation test model with semi-physical simulation technology, and use this model to simulate offshore oil and gas separation process simulation study of the control system. Multi-bus technology to ensure communication with the computer simulation model, simulation system platform to achieve real-time monitoring parameters.Finally, the test results show that the model simulation of real-time evaluation PID algorithm can effectively improve the performance of the control system.
The control system as offshore oil platform connecting the core of the control aspects of the production.And PID controller as an important part of the control loop control system, often due to changes in working conditions and other causes varying parameters mutation occurs in the system and cause its performance may be degraded. In this paper, reliability of PID controller performance evaluation method based on minimum variance control for the PID controller. Construction of Offshore oil and gas separation system simulation test model with semi-physical simulation technology, and use this model to simulate offshore oil and gas separation process simulation study of the control system. Multi-bus technology to ensure communication with the computer simulation model, simulation system platform to achieve real-time monitoring parameters.Finally, the test results show that the model simulation of real-time evaluation PID algorithm can effectively improve the performance of the control system.
引文
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[9]高强,常勇,李航等.加压泵站自动化系统程序的模块化设计[J].自动化仪表,2014,35(9):24-26.Gao Q, Chang Y, Li H, et al. Modular Design of Automation System Program for Pressurized Pumping Station[J]. Automated Instrument,2014,35(9):24-26.
[10]高强,李航,张凯林.利用半实物仿真技术的动态矩阵控制研究与实现[J].计算机工程与设计,2014,35(2):598-603.Gao Q, Li H, Zhang K L. Research and Implementation of Dynamic Matrix Control Using Semi-physical Simulation Technology[J].Computer Engineering and Design, 2014,35(2):598-603.
[11]高强,李航,吴楠.一种用于先进过程控制研究的半实物仿真系统[J].自动化仪表,2014,1(2):28-32.Gao Q, Li H, Wu N. A Semi-physical Simulation System for Advanced Process Control Research[J]. Automated Instrument, 2014,1(2):28-32.
[12]张金山,高强,李航.新型的应用于过程控制的半实物仿真系统[J].计算机工程与设计,2013,34(4):1356-1360.Zhang J S, Gao Q, Li H. New Semi-physical Simulation System for Process Control[J]. Computer Engineering and Design, 2013,34(4):1356-1360.
[2] Harris, T. J. Assessment of control loop performance[J]. Canadian Journal of Chemical Engineering, 1989,67(5):856-861.
[3] Tyler M. L., Morari M. Perfbrmance monhoring of control systems using likelihood methods[J]. Automatica, 1996,32(8):1145-1162.
[4] Huang B., Shah S. L., Miller R. Feedforward plus feedback controller performance assessment of MIMO systems[J]. IEEE Transactions on Control Systems Technology, 2000, 8(3):580-587.
[5] Huang B. Minimum variance control and performance assessment of time variant processes[J]. Journal of Process Control, 2002, 12(6):707-719.
[6] Desborough L, Harris T. Performance assessment measures for univariate feedforward/feedback control[J]. The Canadian Journal of Chemical Engineering, 1993,71(4):605-616.
[7]孙金明,左信,季德伟,等.PID控制器性能评价[J].化工自动化及仪表,2004.31(5):21-23.Sun J J, Zuo X, Ji D W, et al. PID Controller Performance Evaluation[J]. Chemical Automation and Instrumentation, 2004.31(5):21-23.
[8]刘小艳,张泉灵,苏宏业.PID控制器的性能监控与评估[J].计算机与应用化学,2010,27(1):91-94.Liu X X, Zhang Q L, Su H Y. Performance Monitoring and Evaluation of PID Controller[J]. Computer and Applied Chemistry,2010,27(1):91-94.
[9]高强,常勇,李航等.加压泵站自动化系统程序的模块化设计[J].自动化仪表,2014,35(9):24-26.Gao Q, Chang Y, Li H, et al. Modular Design of Automation System Program for Pressurized Pumping Station[J]. Automated Instrument,2014,35(9):24-26.
[10]高强,李航,张凯林.利用半实物仿真技术的动态矩阵控制研究与实现[J].计算机工程与设计,2014,35(2):598-603.Gao Q, Li H, Zhang K L. Research and Implementation of Dynamic Matrix Control Using Semi-physical Simulation Technology[J].Computer Engineering and Design, 2014,35(2):598-603.
[11]高强,李航,吴楠.一种用于先进过程控制研究的半实物仿真系统[J].自动化仪表,2014,1(2):28-32.Gao Q, Li H, Wu N. A Semi-physical Simulation System for Advanced Process Control Research[J]. Automated Instrument, 2014,1(2):28-32.
[12]张金山,高强,李航.新型的应用于过程控制的半实物仿真系统[J].计算机工程与设计,2013,34(4):1356-1360.Zhang J S, Gao Q, Li H. New Semi-physical Simulation System for Process Control[J]. Computer Engineering and Design, 2013,34(4):1356-1360.