scholarly journals Optimization Design of Centrifugal Pump Flow Control System Based on Adaptive Control

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1538
Author(s):  
Yuqin Wang ◽  
Haodong Zhang ◽  
Zhibo Han ◽  
Xiaoqiang Ni
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Flow Control ◽  
Real Time ◽  
Centrifugal Pump ◽  
Pid Control ◽  
Control Method ◽  
Centrifugal Pumps ◽  
Pump Flow ◽  
Flow Control System

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.

PID Control Based Missile Sub-Channel Simulation

2012 ◽  
Vol 433-440 ◽  
pp. 7011-7016 ◽  
Author(s):  
Chao Bo Chen ◽  
Bing Liu ◽  
Ning He ◽  
Song Gao ◽  
Quan Pan
Keyword(s):  
Control System ◽  
Real Time ◽  
Flight Control ◽  
Pid Control ◽  
Pid Controller ◽  
Channel Model ◽  
Control Method ◽  
Flight Control System ◽  
Aerodynamic Control ◽  
The Stability

The accuracy and real-time of modern missile flight control system of traditional aerodynamic can not be satisfied. In this paper a new method is presented to improve the accuracy and real-time of missiles under this condition. First of all, a missile sub-channel model of the dynamic equations and steering gear is established, then based on the established model, using PID controller to control steering gear and three channels of missile pitch, yaw, roll respectively which is called missile sub-channel PID control method, and finally making use of MATLAB/Simulink to complete the simulation. Simulation results show that compared with traditional aerodynamic control system, this method can reduce the response time of aerodynamic missile and enhance the stability of the control system obviously.

Single Neuron PID Adaptive Control for BLDCM Based on Algebraic Algorithm

2012 ◽  
Vol 220-223 ◽  
pp. 851-854
Author(s):  
Yan Diao ◽  
Hong Ping Jia ◽  
Tian Jun Geng
Keyword(s):  
Adaptive Control ◽  
Motor Control ◽  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Dc Motor Control ◽  
Motor Control System

The brushless DC motor control system often adopts the classic PID control, the advantages of which are as follows: simple to control, easy to adjust the parameter and a certain degree of control precision. But it relies on accurate mathematical model. The permanent magnet brushless DC motor control system is a multi-variable and nonlinear. As to the deficiencies of the classic PID control method, this thesis proposes a method called artificial neural network PID adaptive control method, which is based on algebraic algorithm and overcomes the shortcomings such as the slow convergence of BP algorithm, easy to trap in local minimum, and etc.

Application of Single Neuron Adaptive PID Controller in Flow Control System

2014 ◽  
Vol 602-605 ◽  
pp. 1052-1055 ◽  
Author(s):  
Ze Kang ◽  
Cheng Qiang Yin ◽  
Shao Min Teng
Keyword(s):  
Control System ◽  
Flow Control ◽  
Pid Controller ◽  
Single Neuron ◽  
Control Method ◽  
Dynamic Performance ◽  
Oxide Concentration ◽  
Flow Control System ◽  
Self Learning

Oxide concentration at reactor inlet is one of the most important factor effecting the quality of ethylene oxide concentration. A control method with adaptive PID of single neuron is propose using the parameter self-learning with adaptive PID controller of single neuron for the oxide flow control system. The simulation results show that this design scheme has a better dynamic performance than traditional PID scheme to verify the feasibility of this method.

scholarly journals Design of the LADRC control system for gravimetric stabilisation platforms

2021 ◽  
Vol 2113 (1) ◽  
pp. 012018
Author(s):  
Enfan Lin ◽  
Jiangning Xu ◽  
Miao Wu ◽  
Hongyang He
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Simulation Experiment ◽  
Control Method ◽  
Control System Design ◽  
Adaptive Control System ◽  
Platform System

Abstract Aiming at the problems of strong non-linearity of gravimeter stabilisation platform system, poor robustness of linear PID control algorithm and non-adaptive control system. This paper designs a LADRC-based gravimetric stabilisation platform control system design and method based on the research of PID controller and ADRC control method, and gives the anti-saturation and anti-noise design applicable to it, and the simulation experiment shows that the method is feasible.

scholarly journals Real Time Flow Control System for Precise Gas Feed in COIL

2022 ◽  
Vol 72 (1) ◽  
pp. 91-97
Author(s):  
Rajeev Kumar Dohare ◽  
Mainuddin . ◽  
Gaurav Singhal
Keyword(s):  
Control System ◽  
Flow Control ◽  
Singlet Oxygen ◽  
Real Time ◽  
Optimal Operation ◽  
Buffer Gas ◽  
Oxygen Generator ◽  
Time Flow ◽  
Singlet Oxygen Generator ◽  
Flow Control System

This paper reports development of a real time flow control system for precise, controlled and uniform gas feed to a flowing medium Chemical Oxygen Iodine Laser (COIL). The optimal operation of this prominent laser depends upon the desired supply of gas constituents such as nitrogen (N2), chlorine (Cl2) and iodine (I2) to achieve adequately mixed laser gas. The laser also demands real time variation of flow rates during gas constituent transitions in order to maintain stabilized pressures in critical subsystems. Diluent nitrogen utilized for singlet oxygen transport is termed as primary buffer gas and that for iodine transport is termed as secondary buffer gas (with main and bypass components). Also, nitrogen in precise flows is used for mirror blowing, nozzle curtain, cavity bleed and diffuser startup. A compact hybrid data acquisition system (Hybrid DAS) for precise flow control using LabVIEW 2014 platform has been developed. The supported flow ranges may vary from few mmole.s-1 to few hundred mmole.s-1. The estimated relative uncertainty in the largest gas component i.e. primary buffer gas feed is nearly 0.7%. The implementation of in-operation variation using flow ramp enables swift stabilization of singlet oxygen generator pressures critical for successful COIL operation. The performance of Hybrid DAS is at par with fully wired DAS providing the crucial benefit of remote field operation at distances of nearly 80m in line of sight and 35m with obstacles

Hydromechanics Research of Pump Flow Control System Based on BP Neural Network PID

2013 ◽  
Vol 327 ◽  
pp. 222-226
Author(s):  
Xue Song Zhao ◽  
Jian Hu ◽  
Pei Cheng Shi
Keyword(s):  
Neural Network ◽  
Control System ◽  
Flow Control ◽  
Bp Neural Network ◽  
Step Response ◽  
Pump Flow ◽  
Actual Flow ◽  
Flow Control System ◽  
Fluid Flow Control ◽  
The Mathematical Model

In order to improve the accuracy of the pump flow control system,With the application of hydromechanics:the actual flow of the pump is restricted by head,the mathematical model of the fluid flow control system is established.Through the analysis, which obtained three kinds of unit step response curve of the pump flow control when it is under the condition that without using the PID,using the PID and using the BP neural network combined with the PID control. It is concluded that the efficiency of using the BP neural network combined with the PID is much better, Which can improve the pump flow control system's accuracy.

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