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智能阀门定位器的仿人智能PID控制策略研究 被引量:1

Research on Humanoid Intelligent PID Control Strategy for Intelligent Valve Positioner
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摘要 阀门定位器是气动调节阀的一种辅助配件,对于调节阀的过程控制性能起到至关重要的作用。在一些应用领域,对阀门的控制不仅是普通的开关控制,同时涵盖了开度大小的调节以及频繁的控制动作。这对阀门定位器的智能性和适应性提出了更高的要求。由于气动调节阀系统具有非线性、大惯性、大滞后等特点,常规比例积分微分(PID)算法不能对调节阀进行有效、精确的控制。提出了一种新的智能阀门定位器的仿人智能PID控制方法,设计了仿人智能控制规则,并通过MATLAB进行仿真验证。仿真结果表明,仿人智能PID控制方法能有效地提升调节阀的快速性,具有更好的鲁棒性,可优化系统性能。所设计的控制性能更优的智能阀门定位器控制算法,为进一步优化阀门定位器先进控制算法提供了条件。 Valve positioner is a kind of auxiliary parts of pneumatic control valve,which plays a vital role in the process control performance of the control valve.In some applications,valve control is not just a general on/off control,but also covers the adjustment of opening size and frequent control actions.This puts forward higher requirements for the intelligence and adaptability of valve positioner.Because the pneumatic control valve system has the characteristics of nonlinear,large inertia and large lag,the conventional proportional integral differential(PID)algorithm cannot control the control valve effectively and accurately.A new humanoid intelligent PID control method for intelligent valve positioner is proposed,and the humanoid intelligent control rules are designed and verified by MATLAB.The simulation results show that the humanoid intelligent PID control method can effectively improve the speed of the regulating valve,has better robustness,and can optimize the system performance.The design of intelligent valve positioner control algorithm with better control performance provides conditions for further optimization of advanced valve positioner control algorithm.
作者 程予任 叶灵宋 余昭旭 CHENG Yuren;YE Lingsong;YU Zhaoxu(School of Information Science and Engineering,East China University of Technology,Shanghai,200237,China;Shanghai Automation Instrument Co.,Ltd.,Shanghai 200072,China)
出处 《自动化仪表》 CAS 2022年第5期30-33,40,共5页 Process Automation Instrumentation
关键词 气动调节阀 智能阀门定位器 仿人智能控制 控制性能 比例积分微分 鲁棒性 MATLAB Pneumatic control valve Intelligent valve positioner Humanoid intelligent control Control performance Proportional integral differential(PID) Robustness MATLAB
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