Open AccessResearch of self-adaptive PID drilling fluid level control algorithm based on differential flow
Author(s) -
Lei Li,
Haixiao Deng,
Zhigang Dong
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1585/1/012037
Subject(s) - pid controller , drilling fluid , adaptability , control theory (sociology) , flow control (data) , drilling , flow (mathematics) , well control , fluid queue , reliability (semiconductor) , computer science , algorithm , control engineering , engineering , control (management) , mathematics , mechanical engineering , temperature control , physics , ecology , computer network , power (physics) , geometry , queueing theory , quantum mechanics , artificial intelligence , biology
Aimed at the puzzle of traditional PID control algorithm not satisfy level control requirement when drilling fluid performance changing, the article proposed adaptive PID level control algorithm based on differential flow. Through monitoring differential flow between slurry pump outlet and buffer pry inlet, the algorithm got optimized PID control parameters and evaluated drilling fluid properties, which could be used for liquid level control under different fluid medium characteristics. In the laboratory test of drilling fluid tank, the proposed algorithm could always keep the level deviation within 5% through self-adaptive modify PID control parameters under different drilling fluid characteristics. The results shows that the algorithm has wide adaptability and high reliability, and can be applied to the liquid level control situation where the characteristics of the fluid medium change.