Open AccessResearch on Flocculation and Sedimentation Characteristics of Extremely Fine Coal Slime Based on Computer PID Algorithm
Author(s) -
Aiqing Wang
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 - 10.1088/1742-6596/1578/1/012002
Subject(s) - fuzzy logic , coal , coal preparation plant , settling time , sedimentation , process engineering , process (computing) , fuzzy control system , flocculation , computer science , reuse , gravity separation , control engineering , control theory (sociology) , control (management) , engineering , waste management , environmental engineering , step response , artificial intelligence , paleontology , sediment , biology , operating system
Coal slime water treatment is a very important process in coal preparation plant, its treatment effect directly affects the reuse of washing water and closed-circuit circulation index, and on the other links of coal preparation plant such as separation efficiency, the number of product quality index has a great impact, and even restricts the economic and social benefits of an important system. Based on improved grey prediction fuzzy control principle, an improved slurry flocculating settling process of feed forward and feedback control strategy, the improvement is: using fuzzy algorithm to replace the current use of conventional fuzzy control algorithm, namely according to the online setting parameters of fuzzy rules, both to overcome the difficult to eliminate the steady-state error and fuzzy control to realize accurate control weaknesses, and overcome the difficulty of parameter setting, make them form a complementary advantages. Therefore, it is of great significance to study advanced control method and improve control effect in coal preparation plant.