This paper is devoted and intended to solve the problems of determining the precise separation efficiency and accurate prediction for the solid yield of multi-product cyclones based on existing experimental data. The influence of inlet pressure control on separation performance of multi-product cyclones is investigated. Hydrocyclone separation performance is influenced by many factors such as the liquid level of agitating vessel and the entrance pressure. The liquid level can also be controlled through the entrance pressure control. The mathematical model of multi-product cyclone system is a high-order complex model and it is difficult to determine the specific expressions. The paper adopts a special optimal fuzzy PI_PID control strategy performed by Programmable Logic Controller system to enable inlet pressure control. By the force of contrast with experiment and analysis for many performance indexes, the effectiveness and applicability of the control approach are demonstrated. The research provides a method for control of high-order complex system of hydrocyclone separation.
[1]
Chris Lacor,et al.
Modeling and Pareto optimization of gas cyclone separator performance using RBF type artificial neural networks and genetic algorithms
,
2012
.
[2]
Tingrui Liu,et al.
Optimal fuzzy control of electronic expansion valve-evaporator system
,
2013
.
[3]
Xu Huan.
Prediction of artificial neural network-based hydrocyclones classification performance
,
2012
.
[4]
Bingtao Zhao,et al.
Artificial neural network-based modeling of pressure drop coefficient for cyclone separators
,
2010
.
[5]
Chen Boyang.
Separation Efficiency Optimization of Liquid-solid Hydrocyclone and Numerical Simulation
,
2011
.
[6]
Orhan Ekren,et al.
Energy saving potential of chiller system with fuzzy logic control
,
2010
.
[7]
Orhan Ekren,et al.
Comparison of different controllers for variable speed compressor and electronic expansion valve
,
2010
.