Intelligent PID controller online optimization method and system thereof

Abstract

The invention provides an intelligent PID controller online optimization method and system thereof. The method comprises the steps that a time-varying high-order linear discrete parameter model is initialized, model parameters are obtained in real time through a reliable recursion online identification algorithm, and modeling work suitable for the flow industrial process is completed. A real-time high-order model is used as a controlled object, and a PID controller is designed in a closed loop. The specific design method comprises the following steps: based on a given fitness function, carrying out PID controller parameter optimization by adopting an improved particle swarm algorithm, and finally obtaining a global optimal solution of PID controller parameters. When the working condition is changed (model parameters are changed) or the slow rate updating moment is reached, the PID controller parameters are optimized again so as to cope with the condition of working condition change, and control engineering optimization is achieved at the same time. The intelligent PID controller online optimization method and system provided by the invention are wide in application range, high in adaptability, long in life cycle and excellent in control effect.

Description

technical field [0001] The invention relates to the technical field of process industry, in particular to an online optimization method and system for an intelligent PID controller. Background technique [0002] The process industry is a leading industry in the national economy, occupying a leading position in many fields such as petrochemical, electric power, metallurgy, pharmaceuticals, light industry, water conservancy, and environmental protection. Process industry refers to the industry whose main production process is continuous production, and has the following characteristics: [0003] (1) Continuous production, the process flow remains basically unchanged, and the parameters of the process operation need to be adjusted during the production process; [0004] (2) The basic production equipment in the process of process reaction is a unit-level production device, and there is an optimal control strategy between materials and energy; [0005] (3) To ensure stable pro...

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Problems solved by technology

[0006] (4) The production environment is relatively harsh, and the entire production process may contain complex physical and chemical processes, various mutation conditions and uncertain factors

During this period of time, the adjustment effect of the previous PID parameters is greatly weakened, further exacerbating the fluctuation of working conditions, which is easy to cause waste of resources, and what is more, if the fluctuation time is too long and the range is too large, it will cause safety accidents

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