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Research on PID Control of Water Level in Pile Legs Based on Improved PSO
Author(s) -
Zengguo Sun
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/558/2/022019
Subject(s) - pid controller , particle swarm optimization , control theory (sociology) , matlab , pile , controller (irrigation) , nonlinear system , position (finance) , engineering , computer science , control engineering , control (management) , algorithm , temperature control , artificial intelligence , physics , finance , economics , biology , operating system , agronomy , quantum mechanics
Aiming at the problem of poor water level control effect during mud dredging in pile legs, based on the research of traditional PID algorithm and particle swarm algorithm, a PID parameter optimization method based on improved PSO(IPSO)was proposed. This paper adopts a nonlinear dynamic adaptive inertial weight ( ω ) method and introduces a time factor to adjust the position update time. In this paper, a mathematical model of the water level control system in the leg is established, and the system is simulated by MATLAB / Simulink. By comparing the simulation results, PID controller optimized by improved PSO is better than traditional PID controller. The proposed method provides a theoretical reference for the water level control system during the mud dredging operation in the pile legs.

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