Hi Wafa,

If you are already familiar with MATLAB/Simulink Fuzzy Logic Toolbox and C programming language, you can use Simulink Coder to generate C code for a Fuzzy Logic Controller block according to your application needs.

https://www.mathworks.com/help/fuzzy/generate-code-for-fuzzy-system-using-simulink-coder.html

If you are working on Siemens S7 PLC, you can use Simulink PLC Coder to generate Structured Text for a Fuzzy Logic Controller block. Structured Text is text-based programming language for PLC defined by PLCOpen in IEC 61131-3.

https://www.mathworks.com/help/fuzzy/generate-structured-text-for-fuzzy-system-using-simulink-plc-coder.html

You can use the rule base if available in literature for implementing the fuzzy control for irrigation controller. Your inputs i.e. temperature and humidity have some relation with the amount of water needed. So just find the relation and form a rule table for it. Then use the fuzzy logic designer tool in MATLAB for implementing the rule base for controlling the water amount according to the humidity and temperature conditions.

Dear Dr Wafa,

I absolutely agree with the previous two answers. In addition, I thought the following links will be helpful for you. The authors describe a couple of applications. Although none of these applications show a full overlap with your intended application, there might be some similarities:

https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=4&ved=0ahUKEwiC8YG2h8faAhVF3iwKHWkjC6MQFghAMAM&url=http%3A%2F%2Fwww.ijarcs.info%2Findex.php%2FIjarcs%2Farticle%2Fdownload%2F4044%2F3616&usg=AOvVaw23K9RLATTiXv3xkW243OE3

Article Real-Life Applications of Fuzzy Logic

Article Editorial: Real-Life Applications of Fuzzy Logic

Yours sincerely,

Rainer

Hi everyone,

Thank you all for your support..Infact fuzzy logic with python is more convenient for my project. But thank you anyway , your references will surely help me

Wafa

Hi Wafa,

In that case, you need to get the Fuzzy Logic Library/Toolbox (scikit-fuzzy 0.3.1) for Python (SciPy).

https://pypi.org/project/scikit-fuzzy/

You can also refer to the sample coding for solving the tipping problem using Fuzzy Logic.

https://pythonhosted.org/scikit-fuzzy/auto_examples/plot_tipping_problem_newapi.html

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For the water irrigation problem, the fuzzy variables can be defined as follows:

Relative Humidity (RH) = {LOW, MED, HIGH}

Air Temperature (AT) = {LOW, MED, HIGH}

Water Flow Rate (Q) = {Very-LO, LOW, MED, HIGH, Very-HI}

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The following rules are constructed based on educated guess:

1. If RH = HIGH, and AT = LOW, then Q = Very-LO

2. If RH = HIGH, and AT = MED, then Q = LOW

3. If RH = HIGH, and AT = HIGH, then Q = MED

4. If RH = MED, and AT = LOW, then Q = LOW

5. If RH = MED, and AT = MED, then Q = MED

6. If RH = MED, and AT = HIGH, then Q = HIGH

7. If RH = LOW, and AT = LOW, then Q = MED

8. If RH = LOW, and AT = MED, then Q = HIGH

9. If RH = LOW, and AT = HIGH, then Q = Very-HI

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Please refer to the website of the University Corporation for Atmospheric Research (UCAR) for details.

http://stream1.cmatc.cn/pub/comet/FireWeather/S290Unit5TemperatureandRelativeHumidityRelationships/comet/fire/s290/unit5/print.htm

Thank you so much Dr Yew Chung Chak

hello wafa can you share the data set you used for fusion?