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Fuzzy Logic Control in Automated Car System
1. FUZZY LOGIC CONTROL IN
AUTOMATED CAR SYSTEM
Presented by:
Mrunal Selokar [2013BCS065]
Suraj Bobade [2013BCS072]
2. WHAT IS IT…..?
The automated car system takes the
car speed and the distance of the
obstacle as an input and decides what
angular turn the car should take
3. STEPS IN FUZZY INFERENCE
SYSTEM
• Fuzzification
• Rules
• Inference
• Defuzzification
4. FUZZIFICATION
Parameters of the fuzzy sets
SPEED:
slow [20 to 60 kmph]
Medium [40 to 80 kmph]
fast [60 to 100 kmph]
OBSTACLE DISTANCE:
Close [5 to 15 meters]
Medium [10 to 20 meters]
Far [15 to 25 meters]
5.
6. RULES
Rule 1: If (obstacle is far)&(speed is slow) then angle is straight
Rule 2: If (obstacle is far)&(speed is medium) then angle is smallT
Rule 3: If (obstacle is far)&(speed is fast) then angle is medT
Rule 4: If (obstacle is med)&(speed is slow) then angle is smallT
Rule 5: If (obstacle is med)&(speed is medium) then angle is medT
Rule 6: If (obstacle is med)&(speed is fast) then angle is bigT
Rule 7: If (obstacle is close)&(speed is slow) then angle is medT
Rule 8: If (obstacle is close)&(speed is medium) then angle is bigT
Rule 9: If (obstacle is close)&(speed is fast) then angle is bigT
9. Delta1 =x - point1
Delta2 =point 2 – x
If(Delta1<=0 or Delta2<=0)
the Degree of membership=0
Else
Degree of membership= min { (Delta1
*slope1),(Delta2 *slope2 ),1}