Water pressure control based on disturbance observer in hydraulic classification

Author(s):  
Dan Niu ◽  
Xisong Chen ◽  
Jun Yang ◽  
Xingpeng Zhou
2017 ◽  
Vol 40 (6) ◽  
pp. 1863-1872
Author(s):  
Dan Niu ◽  
Xisong Chen ◽  
Xiaojun Wang ◽  
Xingpeng Zhou

In the hydraulic classification, precise control for the flow rate of overflow water is vital to guarantee the uniformity and stability of the powder product size. Usually the multiple overflow tanks are supplied by a shared overflow pipeline, which gives rise to large coupling effects in the controls for the flow rates of multiple overflow tanks simultaneously. To solve this issue, it is necessary to keep the water pressure in the shared overflow pipeline accurately constant, which is not easy due to strong disturbances. Several control strategies have been proposed to control the constant water pressure. However, most of them (such as proportional-integral-derivative and model predictive control) reject disturbances just through feedback regulation and do not reject disturbances directly. This may cause poor control performances in the presence of strong disturbances. For improving the disturbance rejection performance, a control scheme based on proportional-integral-derivatives and disturbance observer is put forward in this paper. The scheme employs disturbance observer as feedforward compensation and a proportional-integral-derivative controller as feedback regulation. The disturbance rejection properties under both model mismatches and external disturbances are discussed. The test results illustrate that the proposed method can remarkably improve the disturbance attenuation property compared with the conventional proportional-integral-derivative method in the hydraulic classification process.


Water ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1403
Author(s):  
Thomas John Voltz ◽  
Thomas Grischek

Wherever the flow of water in a gravity pipeline is regulated by a pressure control valve, hydraulic energy in the form of water pressure can instead be converted into useful mechanical and electrical energy via a turbine. Two classes of potential turbine sites exist—those with (class 1, “buffered”) and those without (class 2, “non-buffered”) a storage tank that decouples inflow from outflow, allowing the inflow regime to be modified to better suit turbine operation. A new method and Excel tool (freely downloadable, at no cost) were developed for determining the optimal hydraulic parameters of a turbine at class 1 sites that maximize annual energy generation. The method assumes a single microturbine with a narrow operating range and determines the optimal design flow rate based on the characteristic site curve and a historical time series of outflow data from the tank, simulating tank operation with a numerical model as it creates a new inflow regime. While no direct alternative methods could be found in the scientific literature or on the internet, three hypothetically applicable methods were gleaned from the German guidelines (published by the German Technical and Scientific Association for Gas and Water (DVGW)) and used as a basis of comparison. The tool and alternative methods were tested for nine sites in Germany.


2013 ◽  
Vol 753-755 ◽  
pp. 2628-2631
Author(s):  
Jin Hua Wang ◽  
Hong Yan Zhang ◽  
Jing Xia Niu

This paper show a parameter self-adaptive fuzzy PID controller which was designed by using fuzzy logical rules, and the rules aiming at characteristics of constant pressure water-supply system such as nonlinear, multi-parameters and long time delay. The controller can online auto tuning PID parameters to select the appropriate control parameters, depending on the working conditions for effective control of the water supply system water pressure regulator. The simulation results show that the control system response quick, over regulation measurement and transitional time is greatly reduced, oscillation time shorten, and the system has strong robustness and good stability.


2014 ◽  
Vol 17 (1) ◽  
pp. 90-98 ◽  
Author(s):  
Bin Zhu ◽  
Jingqi Yuan

This paper presents an approach to modeling the water pressure transfer among nodes in an urban water supply network for the purpose of pressure control. The network is divided into different sub-networks based on the Pearson correlation analysis of the nodal pressure measurements. The Pearson correlation analysis is performed to find out the set of nodes, whose water pressures are highly correlated, and thus a corresponding sub-network is formulated. As a case study, 47 sub-networks are recognized for a region with an area of 250 km2 and 77 nodes in total. For each sub-network, a linear model is constructed to quantify the pressure transfer. The output of the model is the pressure estimate for the node of our interest which is called the center node. The rest of the nodes in the sub-network are called the correlated nodes of the center node, and the pressure measurements at the correlated nodes constitute the input to the model. The average relative error of the model is less than 3%. A pressure regulating method based on the model is proposed and tested numerically.


2014 ◽  
Vol 615 ◽  
pp. 420-425
Author(s):  
Yin Li Xu ◽  
Shu Cheng Li ◽  
Nian Liu ◽  
Dan Chen

By analyzing pressure control process of some wind tunnel spraying water supply system, a simplified method is presented, which can avoid interference between different pressure control circuits. Regulating valve is the key control equipment, and its regulating formula is given after detailed calculations and analysis. The simulation of pressure control for spraying water supply system is researched based on AMESim, which provides the theoretical support for experiment. In the end,experimental results show that the control method is effective, and water pressure precision can meet the technical requirements.


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