scholarly journals PH control for deep flow technique hydroponic IoT systems based on fuzzy logic controller

2020 ◽  
Vol 8 (4) ◽  
pp. 323-329
Author(s):  
Adnan Rafi Al Tahtawi ◽  
Robi Kurniawan
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Ph Value ◽  
Ph Control ◽  
Feeding Duration ◽  
Liquid Feeding ◽  
Hydroponic Cultivation ◽  
Deep Flow Technique ◽  
Ph Level ◽  
The Internet Of Things

In hydroponic cultivation sites, pH control is still carried manually by checking the pH level with a pH meter and providing a pH balancing liquid manually. This study aims to design an automatic pH control system in the Deep Flow Technique (DFT) hydroponic system that uses the Internet of Things (IoT) based Fuzzy Logic Controller (FLC). The SKU SEN0161 sensor detects the pH value as FLC inputs in an error value and its changes. These inputs are processed using Mamdani FLC embedded in the Arduino Mega 2560 microcontroller. The FLC produces an output in a pH liquid feeding duration using the peristaltic pump. The results showed that FLC could maintain the pH value according to the set point with a settling time of less than 50 seconds, both with disturbance by adding pH liquid and without disturbance. The pH value can also be displayed on the website interface system as a monitoring system.

Fuzzy Logic Controller Design for pH-Control in a CSTR

1995 ◽  
Vol 28 (9) ◽  
pp. 27-32
Author(s):  
Thomas Heckenthaler ◽  
Sebastian Engell
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Ph Control

scholarly journals Design and Implementation of Controller for PH Process At Elevated Pressure

2019 ◽  
Vol 8 (2S5) ◽  
pp. 109-113
Keyword(s):  
Fuzzy Logic ◽  
Deep Sea ◽  
Fuzzy Logic Controller ◽  
Optimization Methods ◽  
Elevated Pressure ◽  
Ph Control ◽  
Laboratory System ◽  
The Novel ◽  
Modeling And Control ◽  
Simulation Results

This paper describes the modeling and control of a pH neutralization process and compares the traditional, fuzzy logic and Genetic Algorithm (GA) optimization methods for the novel deep sea microbial instrument at elevated pressure. National Institute of Ocean Technology (NIOT) has designed, developed and patented a novel instrument to mimic deep sea conditions in laboratory for deep sea microbial exploration. Controlling pH in the novel deep sea conditions mimicking laboratory system is complicated, because of high salinity, temperature stimulus, high pressure operation, and its non-linearity. To address the pH control issues a systematic real time experimental model was designed developed, implemented and analyzed. The simulation results shows that the proposed controller technique is effective in tracking set point and has resulted in a minimum value of the Integral Square Error, peak overshoot and minimum settling time as compared to conventional methods. The experimental results show that the model accuracy and the GA and fuzzy logic controller performance is superior then the other control methods and it matches favorably with the simulation results.

A hybrid form of fuzzy-logic controller

1990 ◽  
Vol 55 (4) ◽  
pp. 964-980
Author(s):  
Josef Vrba ◽  
Ywetta Purová
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Ph Control ◽  
Fuzzy Subset ◽  
Hybrid Form ◽  
Linguistic Model ◽  
Conditional Statements ◽  
Self Tuning ◽  
The Given

A hybrid form of a fuzzy-logic controller with linguistic and numerical variables and fuzzy subset as their common quantifier is presented. It is typical for the controller that the role of conditional statements of its linguistic model is optionally combined with a set of numerical parameters. The statements are automatically generated according to the given state of the system under control, it brings the necessary feature of adaptivity and self-tuning ability. The efficiency of the controller is checked on a set of simulated systems and a real one with pH control as well.

scholarly journals Fuzzy Logic Controller for Automating Electrical Conductivity and pH in Hydroponic Cultivation

2021 ◽  
Vol 12 (1) ◽  
pp. 405
Author(s):  
Cheng-Hung Chen ◽  
Shiou-Yun Jeng ◽  
Cheng-Jian Lin
Keyword(s):  
Electrical Conductivity ◽  
Fuzzy Logic ◽  
Control System ◽  
Nutrient Solution ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Operating Time ◽  
Hydroponic System ◽  
Hydroponic Cultivation ◽  
Nutrient Solutions

This study proposes a fuzzy logic controller for adjusting the electrical conductivity (EC) and pH of the nutrient solution in a hydroponic system. The proposed control system detects the EC and pH of the solution through sensors and adjusts the working time of the solution pump through the fuzzy controller. Specifically, the EC and pH of the nutrient solution are maintained at specific values. A Raspberry Pi3 development board is used in the proposed control system to realize and solve the problem of adjusting the EC and pH of the solution. In the fuzzy controller, the inputs are EC and pH sensors, and the output is the operating time of the pump. Experimental results indicate that the proposed control system can effectively reduce the measurement burden and complex calculations of producers by adjusting nutrient solutions.

scholarly journals Automated monitoring and controlling pH levels for hydroponics cultivation technique

2020 ◽  
Vol 18 (3) ◽  
pp. 1236
Author(s):  
Mohammad Farid Saaid ◽  
Ahmad Ihsan Mohd Yassin ◽  
Nooritawati Md Tahir
Keyword(s):  
Water Content ◽  
Ph Value ◽  
Ph Sensor ◽  
Nutrient Elements ◽  
Syringe Pump ◽  
Automated Monitoring ◽  
Hydroponic Cultivation ◽  
Cultivation Technique ◽  
Water Ph ◽  
Ph Level

<span>A hydroponics plant can grow healthily with sufficient nutrient, temperature, light, humidity as well as pH level that is indeed vital in ensuring the plants will absorb maximum nutrient elements required. This paper presents automated monitoring and controlling pH levels for the hydroponic cultivation technique. In this study, automated monitoring and controlling of pH levels are developed specifically for the hydroponic cultivation technique. There are three main methods that involved in the development of the system namely hardware, programming and functionality test. Firstly, users need to set the maximum and minimum pH levels as required by the plant. Then, the pH sensor will monitor the real-time pH level of the water. A syringe pump that contains a pH up solution (alkaline) and a pH down solution (acid) will drip the solutions to neutralize the water content if the water pH level is not within the stated ranges as set by the user. Results showed that the automated monitoring and controlling pH levels were successfully developed and functionality was tested and confirmed as desired. The syringe pumps responded perfectly upon changes of the water pH value based on the validation done that showed 100% accuracy of the syringe pump responds. </span>

Application Fuzzy Logic System for Accurate Sheet Trim Shower Position

2019 ◽  
Vol 3 (1) ◽  
pp. 186-192
Author(s):  
Yudi Wibawa
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Dc Motor ◽  
Automation System ◽  
Paper Making ◽  
System A ◽  
Accurate Position ◽  
And Performance ◽  
Better Than ◽  
Logic System

This paper aims to study for accurate sheet trim shower position for paper making process. An accurate position is required in an automation system. A mathematical model of DC motor is used to obtain a transfer function between shaft position and applied voltage. PID controller with Ziegler-Nichols and Hang-tuning rule and Fuzzy logic controller for controlling position accuracy are required. The result reference explains it that the FLC is better than other methods and performance characteristics also improve the control of DC motor.

STABILISASI TEGANGAN KELUARAN BUCK CONVERTER DENGAN METODE FUZZY LOGIC CONTROLLER

JURNAL ELTEK ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 125
Author(s):  
Oktriza Melfazen
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Rise Time ◽  
Fuzzy Logic Controller ◽  
Buck Converter ◽  
Settling Time

Buck converter idealnya mempunyai keluaran yang stabil, pemanfaatandaya rendah, mudah untuk diatur, antarmuka yang mudah dengan pirantiyang lain, ketahanan yang lebih tinggi terhadap perubahan kondisi alam.Beberapa teknik dikembangkan untuk memenuhi parameter buckconverter. Solusi paling logis untuk digunakan pada sistem ini adalahmetode kontrol digital.Penelitian ini menelaah uji performansi terhadap stabilitas tegangankeluaran buck converter yang dikontrol dengan Logika Fuzzy metodeMamdani. Rangkaian sistem terdiri dari sumber tegangan DC variable,sensor tegangan dan Buck Converter dengan beban resistif sebagaimasukan, mikrokontroler ATMega 8535 sebagai subsistem kontroldengan metode logika fuzzy dan LCD sebagai penampil keluaran.Dengan fungsi keanggotaan error, delta error dan keanggotaan keluaranmasing-masing sebanyak 5 bagian serta metode defuzzifikasi center ofgrafity (COG), didapat hasil rerata error 0,29% pada variable masukan18V–20V dan setpoint keluaran 15V, rise time (tr) = 0,14s ; settling time(ts) = 3,4s ; maximum over shoot (%OS) = 2,6 dan error steady state(ess) = 0,3.

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