scholarly journals A Water Flow Control with OnLine Neurofuzzy Controller using a Dynamic Learning Rate

2018 ◽  
Author(s):  
Hugo Gomes ◽  
Carolina Ferreira1 ◽  
Everthon Oliveira1 ◽  
Agnaldo Reis ◽  
Walmir Caminhas
Keyword(s):  
Flow Control ◽  
Water Flow ◽  
Pid Controller ◽  
Control Process ◽  
Learning Rate ◽  
Dynamic Learning ◽  
The Difference ◽  
Real Plant

This paper describes an ONFC (OnLine Neurofuzzy Controller) application with a dynamic learning rate to control the water flow of a real plant. A revision of ONFC is presented and the ONFCDw version is used, which has an action that minimizes the increase in the difference between the controller weights. The dynamic learning rate used to update the controller weights is described and the results of experiments performed in a water flow control process are presented, comparing the results with the PID controller used in the process.

scholarly journals PERFORMANCE STUDIES ON WATER FLOW CONTROL USING P, PI AND PID CONTROLLERS

2021 ◽  
Vol 28 (3) ◽  
pp. 126-138
Author(s):  
Ramesh Babu Aremanda ◽  
◽  
Nahom Yohannes ◽  
Yosief Ghezae ◽  
◽  
...  
Keyword(s):  
Water Resources ◽  
Flow Control ◽  
Water Flow ◽  
Performance Studies ◽  
Output Signal ◽  
Pid Controller ◽  
Distribution Systems ◽  
Water Distribution ◽  
Pi Controller ◽  
Control Mechanisms

The main purpose of this study is to revitalize the concept of wise and controlled supply of water for domestic, industrial and agricultural applications which facilitate sustainable usage of fresh water resources. As Eritrea is striving to manage its water resources, attention paid primarily to enable water flow control mechanisms in municipal water distribution systems. A table top process control trainer (PCT) was tested through proportional(P), integral (I) and derivative (D) control mechanisms using Ziegler-Nichols second method to evaluate the tuning variables. Applying exclusively P control action, critical period of oscillation (𝑃𝑃𝑐𝑐𝑐𝑐) was estimated as 1.4 sec at proportional band value of 9. P, PI and PID controller performance studies were conducted with tuned variables on the water flow control system at different step disturbances between 20 – 50 % and their corresponding responses were characterized. P controller exhibited faster responses with consistent increments in offset, PI controller recorded highest overshoot values with negligible offset and prolonged settling times. PID controller showed less overshoot values and faster response times than PI but it increased chatter on the control output signal. The study revealed that the system can be safely controlled between 0-80 LPH. If the offset is not a major concern, P controller would be reflected suitable with simple design and minimum expenditure, else PI controller makes offset to zero though it possesses higher settling times. In other words, PID controller is complex using more tuning parameters, need expensive maintenance, and has resulted an intermittent noise in the output signal.

scholarly journals A Two-Stage Quality Control Method for 2-m Temperature Observations Using Biweight Means and a Progressive EOF Analysis

2013 ◽  
Vol 141 (2) ◽  
pp. 798-808 ◽  
Author(s):  
Zhifang Xu ◽  
Yi Wang ◽  
Guangzhou Fan
Keyword(s):  
Quality Control ◽  
Control Method ◽  
Control Process ◽  
Lapse Rate ◽  
Systematic Bias ◽  
Eof Analysis ◽  
Two Stage ◽  
Quality Control Method ◽  
Quality Control Process ◽  
The Difference

Abstract The relatively smooth terrain embedded in the numerical model creates an elevation difference against the actual terrain, which in turn makes the quality control of 2-m temperature difficult when forecast or analysis fields are utilized in the process. In this paper, a two-stage quality control method is proposed to address the quality control of 2-m temperature, using biweight means and a progressive EOF analysis. The study is made to improve the quality control of the observed 2-m temperature collected by China and its neighboring areas, based on the 6-h T639 analysis from December 2009 to February 2010. Results show that the proposed two-stage quality control method can secure the needed quality control better, compared with a regular EOF quality control process. The new method is, in particular, able to remove the data that are dotted with consecutive errors but showing small fluctuations. Meanwhile, compared with the lapse rate of temperature method, the biweight mean method is able to remove the systematic bias generated by the model. It turns out that such methods make the distributions of observation increments (the difference between observation and background) more Gaussian-like, which ensures the data quality after the quality control.

scholarly journals Online Model Updating and Dynamic Learning Rate-Based Robust Object Tracking

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2046 ◽  
Author(s):  
Md Islam ◽  
Guoqing Hu ◽  
Qianbo Liu
Keyword(s):  
Object Tracking ◽  
Model Updating ◽  
Learning Rate ◽  
Dynamic Learning

scholarly journals A hybrid PSO-PID approach for trajectory tracking application of a liquid level control process

2015 ◽  
Vol 5 (2) ◽  
pp. 63-73 ◽  
Author(s):  
Turker Tekin Erguzel
Keyword(s):  
Water Level ◽  
Pid Controller ◽  
Nuclear Power ◽  
Power Plants ◽  
Control Process ◽  
Nonlinear Process ◽  
Reference Trajectory ◽  
Proportional Integral Derivative ◽  
Level Control ◽  
Steam Generators

Water level control is a crucial step for steam generators (SG) which are widely used to control the temperature of nuclear power plants. The control process is therefore a challenging task to improve the performance of water level control system. The performance assessment is another consideration to underline. In this paper, in order to get better control of water level, the nonlinear process was first expressed in terms of a transfer function (TF), a proportional-integral-derivative (PID) controller was then attached to the model. The parameters of the PID controller was finally optimized using particle swarm optimization (PSO). Simulation results indicate that the proposed approach can make an effective tracking of a given level set or reference trajectory.

scholarly journals DESAIN SISTEM KONTROL PENGGERAK MULA GENERATOR MAGNET PERMANEN PLTMH MENGGUNAKAN PLANETERY GEAR

Kilat ◽  
2018 ◽  
Vol 7 (2) ◽  
pp. 149-159
Author(s):  
Rizki Pratama Putra ◽  
Samsurizal Samsurizal ◽  
Novi Gusti Pahiyanti
Keyword(s):  
Control System ◽  
Power Plant ◽  
Water Flow ◽  
Water Flow Rate ◽  
Planetary Gear ◽  
Hydro Power ◽  
Voltage Frequency ◽  
The Difference ◽  
Input Load ◽  
Changing Rate

Voltage and frequency stability of a micro hydro power plant requires a simple, reliable and efficient control system. This study aims to design a control system using planetary gear which is known to provide fast speed adjustments to respond to the changing rate of water flow. In this study the system design will be created using matlab simulink. The system will then be simulated with various turbine rotation conditions to see the reliability and stability of the frequency and voltage produced by the permanent magnet generator used in micro hydro power plant. The results obtained are the control system seems can stabilize the generator rotor rotation so that the resulting voltage frequency remains constant even though the input load and water flow rate are dynamic. From the simulation results it is also found that the efficiency of the control system is directly proportional to the difference in mechanical input and electric power output of the system.

Screw Pump‐Type Water Triboelectric Nanogenerator for Active Water Flow Control

2020 ◽  
pp. 2000758
Author(s):  
Seh-Hoon Chung ◽  
Jihoon Chung ◽  
Banseok Kim ◽  
Seamin Kim ◽  
Sangmin Lee
Keyword(s):  
Flow Control ◽  
Water Flow ◽  
Triboelectric Nanogenerator ◽  
Screw Pump ◽  
Type Water
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