Article
Optimization Design of Centrifugal Pump Flow Control System
Based on Adaptive Control
Yuqin Wang * , Haodong Zhang, Zhibo Han and Xiaoqiang Ni
Citation: Wang, Y.; Zhang, H.; Han,
Z.; Ni, X. Optimization Design of
Centrifugal Pump Flow Control
System Based on Adaptive Control.
Processes 2021, 9, 1538. https://
doi.org/10.3390/pr9091538
Academic Editor: Arkadiusz Gola
Received: 31 July 2021
Accepted: 26 August 2021
Published: 29 August 2021
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4.0/).
School of Mechanical Engineering, Chaohu University, Chaohu 238000, China; zhd2108956900@163.com (H.Z.);
hy269392@163.com (Z.H.); NXQ2534775625@163.com (X.N.)
* Correspondence: wyqlll@126.com; +86-182-5655-6898
Abstract:
In this paper, in order to improve the control characteristics of the centrifugal pump flow
control system, a mathematical model of the centrifugal pump flow control system was established
based on an analysis of the basic structures, such as the frequency converter, motor, and centrifugal
pump. Based on the adaptive control theory, the recursive least squares algorithm with a forgetting
factor was used to estimate the real-time parameters of the centrifugal pump control system, and the
self-tuning PID control method was used to optimize the mathematical model of the centrifugal pump
flow control system. The simulation results showed that the adjustment time of the optimized system
was shortened by 16.58%, and the maximum overshoot was reduced by 83.90%, which improved the
rapidity and stability of the transient response of the system. This showed that adaptive control had
a significant effect on improving the robustness and anti-interference ability of the centrifugal pump
control system. In order to further verify the accuracy of the self-tuning PID control method, a flow
adaptive control system test platform was built. The test results showed that under the conditions of
constant frequency and variable frequency, the actual flow rate of the centrifugal pump was always
kept near the set flow rate, the error was small, and it had better real-time followability. The research
results showed that adaptive control could revise the parameters in real-time according to changes
to the centrifugal pump control system, which improved the stability and robustness of the system.
Therefore, adaptive PID control could effectively improve the adaptability of centrifugal pumps to
various complex working conditions and improve the working efficiency of centrifugal pumps.
Keywords: centrifugal pump; adaptive control; self-tuning PID; simulation analysis
1. Introduction
Pumps are widely used general machinery, mainly used in all aspects of production
and life [
1
]. Centrifugal pumps account for a larger share of the total pump usage. There
has been various research about centrifugal pumps recently. Gülich J. F et al. [
2
] predicted
hydraulic design information, the turbine performance curve, torsional rotor vibration,
partial load flow and hydraulic excitation force by studying the interaction between cen-
trifugal pump fluid flow and vibration and material wear. Lobanoff VS et al. [
3
] accurately
predicted the service life of the pump by studying the vibration and noise characteristics
of the centrifugal pump, and performed rotor dynamics analysis and pump vibration
diagnosis. L. Gevorkov, A et al. [
4
] proposed to simulate the flow control system of a cen-
trifugal pump based on Simulink software, developed a specific centrifugal pump model,
and carried out a series of simulations. With the advancement of science and technology
and the development of intelligent control technology, research into automation control is
also deepening, and the degree of industrial automation is also constantly improving. In
industrial production, how to realize the automatic control of the output flow of centrifugal
pumps is one of the important research directions of scientific and technological workers.
Resolving this problem reasonably and effectively will save a lot of manpower and material
resources and bring huge economic benefits.
Processes 2021, 9, 1538. https://doi.org/10.3390/pr9091538 https://www.mdpi.com/journal/processes
