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 Fuzzy logic demo for the .Net Micro Framework platform  

 

 

Fuzzy Demo

 

 

 


Demo of fuzzy logic inference system implemented on Microsoft .NET Micro Framework, deployed on the ATMEL ARM Evaluation kit
 Fuzzy Inference Engine, with 2 inputs and 1 output,
based on laboratory data
 
  
Step 1 : Fuzzy Sets Configuration
  
 
    
 
 
For each Fuzzy Variable and each Fuzzy Set, the Universe of Discourse may be configured separately
The selected Fuzzy Set is shown in red, and depicts instantly the applied values.
 
 
     
 
 
All fuzzy sets are considered to be trapezoids defined by four points, which may be configured as needed
 
  
 
 
 
Demo application deployed on ATMEL DK
 
 
Step 2 : Fuzzy Rules Configuration

 

 
  
 
 
For each combination of the inputs, the value of the output is configured in terms of fuzzy values.
 
 
Step 3 : Fuzzy Inference - Defuzzification

 

  
  
 
 

The graphical representation of the input signals is based on experimental data
The two inputs are applied to the inference engine, in order to calculate the output.
  
  
 

• For every pair of input values at any given time

     • the analog inputs are fuzzilied,

    •  the fuzzy rules are applied, and

    •  the output is defuzzified to a crisp value.

 
  
  
 
• Configuration variations, result to different output waveforms.

 
 
 
                
 
 
 

 

 

 

   
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