PID pressure controller optimization method

By optimizing the PID controller parameters of the methanol fuel supply system using the particle swarm optimization algorithm, the pressure fluctuation problem of the methanol supply system under multiple operating conditions was solved, thereby improving the system's stability and energy efficiency.

CN120993715AActive Publication Date: 2025-11-21CHINA MERCHANTS MARINE & OFFSHORE RES INST CO LTD +1
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Patent Information

Application Number
CN202511528743.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-24
Publication Date
2025-11-21
Estimated Expiration
2045-10-24

AI Technical Summary

Technical Problem

The fixed parameter settings of the existing PID controller cause large pressure fluctuations in the methanol supply system under various operating conditions, affecting the stable operation of the engine.

Method used

By establishing a dynamic model of the methanol fuel supply system, the proportional and integral coefficients of the PID controller are optimized using the particle swarm optimization algorithm, a fitness function is constructed, multi-condition simulations are conducted, and the controller parameters are adjusted to improve system stability.

Benefits of technology

This improved the pressure regulation stability and response performance of the methanol supply system under different operating conditions, reduced pressure fluctuations, and improved system energy efficiency.

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Abstract

The invention relates to the technical field of pressure controller optimization methods, provides a PID (Proportion Integration Differentiation) pressure controller optimization method, and solves the problem of pressure fluctuation in a methanol supply system. The method comprises the following steps: S100, establishing a process dynamic model of the marine methanol fuel supply system, and determining key equipment and operation conditions; s200, constructing a fitness function according to an integral value of an error between a set value SP and a process value PV of a PID pressure controller of the methanol fuel supply system along with time; s300, taking a proportionality coefficient and an integral coefficient of a PID pressure controller of the methanol fuel supply system as optimization variables, and forming a search space of two dimensions in a particle swarm algorithm; s400, performing multi-working-condition dynamic simulation on the methanol supply system process, and optimizing the performance of a PID pressure controller of the marine methanol fuel supply system under different working conditions by using a particle swarm algorithm; adjusting controller parameters through a multi-objective optimization algorithm; and S500, adjustment is carried out based on an actual application scene, pressure fluctuation is reduced, and the energy efficiency and the system stability are improved.
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