化工学报2026，Vol.77Issue(2)：738-751,14.DOI:10.11949/0438-1157.20250728
炼化变工况下多变量过程的智能PID协调整定
Intelligent PID coordinated tuning of multivariable processes under variable working conditions in refining and chemical industries
摘要
Abstract
In petroleum refining and chemical production processes,situations frequently arise where the automatic control mode of the control loop fails after significant changes in operating conditions,necessitating manual intervention.Additionally,the decentralized control structure adopted in the field control loops fails to adequately consider the inter-loop interference caused by coupling effects.Based on the closed-loop architecture of"perception-decision-execution",an intelligent coordinated proportional-integral-derivative(PID)tuning method for multivariable processes under variable operating conditions is proposed.Firstly,collect the data of manipulated variables and controlled variables inside the control loop.Adopt the idea of segmented modeling and use the gated recurrent unit(GRU)neural network that based on the model order to construct the process dynamic model of the closed-loop control loop.Secondly,the magnitude of network updates is taken as the trigger mechanism for intelligent tuning after a significant change in working conditions to achieve the trigger tuning of the slow rate mechanism.Then,both the time-domain performance and weak-coupling performance indicators are connected through appropriate weights.The improved particle swarm optimization algorithm is adopted to coordinate and tune the parameters of multiple PID controllers.Finally,the comparative experiments were completed using the heavy distillate oil tower model of Shell Company.It has been verified that this method can reduce the coupling influence between control loops and can timely achieve PID coordinated retuning after operational condition changes.关键词
过程控制/神经网络/优化/智能PID/变工况/弱耦合Key words
process control/neural network/optimization/intelligent PID/variable working conditions/weak coupling分类
化学化工引用本文复制引用
周建桥,王珠,罗雄麟..炼化变工况下多变量过程的智能PID协调整定[J].化工学报,2026,77(2):738-751,14.基金项目
国家自然科学基金项目(61703434) （61703434）
中国石油大学(北京)科研基金项目(2462020YXZZ023) （北京）
