fuzzy logic in automated mobiles

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FUZZY LOGIC IN AUTOMATED MOBILES BY K.Hemanth Sankar

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Page 1: Fuzzy logic in automated mobiles

FUZZY LOGIC IN AUTOMATED MOBILES

BYK.Hemanth Sankar

Page 2: Fuzzy logic in automated mobiles

Outlines

• Abstract• Fuzzy logic Introduction• Results and discussions• Applications• Advantages• Conclusion• Future scope• References

Page 3: Fuzzy logic in automated mobiles

Abstract :

• Automobiles have become an integrated part of our daily life.

• Due to the speed of automobiles now a days highway accidents are happening frequently.

• The automated speed control system prevents this accidents which is possible with FUZZY LOGIC(artificial intelligence).

• This is based on obstacle sensor unit.

Page 4: Fuzzy logic in automated mobiles

FUZZY LOGIC :-

• THIS LOGIC IS BEST SUITED FOR CONTROL APPILICATIONS SUCH AS TRAFFIC, TEMPERATURE.

• FUZZY LOGIC SEEMS TO BE MOST SUCCESFULL IN TWO CASES:-

1. Very complex models where understanding is strictly limited, in fact, quite judgmental.

2. Processes where human reasoning, human perception , or human decision making are inextricably involved.

Page 5: Fuzzy logic in automated mobiles

FUZZY LOGIC REPRESENTATION:- For every problem it

must represent in terms of fuzzy sets.

For different speeds the logic differs from each other.

Slowest(snail)

Fastest(cheeta)

Slow(tortoise)

Fast(dog)

[ 0.0 – 0.25 ]

[ 0.25 – 0.50 ]

[ 0.50 – 0.75 ]

[ 0.75 – 1.00 ]

Page 6: Fuzzy logic in automated mobiles

FUZZY LOGIC IN CONTROL SYSTEMS:-

Fuzzy Logic provides a more efficient and resourceful

way to solve Control Systems.

Some Examples

Temperature Controller

Anti – Lock Break System ( ABS )

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COMPLEXITY vs. PRECISION IN THE MODEL:-

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FUZZIFICATION AND DEFUZZIFICATION:-

• Fuzzification is the process of making a crisp quantity fuzzy.

• Defuzzification is the conversion of a fuzzy quantity to a precise quantity.

Page 9: Fuzzy logic in automated mobiles

OBSTACLE SENSOR UNIT:-• THIS SENSES THE DISTANCE OF OBSTACLE INFRONT

OF THE CAR.• AS THE SPEED INCREASES THE SENSING DISTANCE

ALSO INCREASES.• THE SPEED OF THE CAR IS TAKEN AS THE INPUT AND

THE DISTANCE SENSED BY THE SENSOR IS CONTROLLED.

Page 10: Fuzzy logic in automated mobiles

FROM THE GRAPH IT IS CLEAR THAT THE SENSING DISTANCE ALMOST VARIES LINEARLY WITH SPEED.

Page 11: Fuzzy logic in automated mobiles

SPEED CONTROL:- The speed of the car is controlled according to the angle subtended by the obstacle. The minimum angle it can overcome is 60.

• SPEED BRAKER:-

• FLY OVER:-

Page 12: Fuzzy logic in automated mobiles

OBSTACLES WHICH THE CAR CANNOT OVERCOME:-• At any instant, if the angle subtended by the obstacle is

greater than 60, then the car comes to rest before colliding with the obstacle.

Page 13: Fuzzy logic in automated mobiles

The angle is taken as the i/p & the o/p speed is controlled.

Input membership function:-

• From the graph it is clear that the speed becomes zero when the angle of the obstacle is greater than 60.

Page 14: Fuzzy logic in automated mobiles

• The rules are not only applicable to obstacles but also small pit, subway etc,.

• Rear Sensing: This fuzzy control can be extended to rear sensing by placing a sensor at the back side of the car, and can be used to control the motion of the car when the wheals rotate in the opposite direction or when the car is in rear gear.

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APPLICATIONS:

• Auto car parking system• Temperature Controller• Anti – Lock Break System ( ABS )

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ADVANTAGES :

• Avoid accidents• Less strain on human• Easy to operate

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CONCLUSION:-

• The fuzzy logic control system can relieve the driver from tension and can prevent accidents.

• This fuzzy control unit when fitted in all the cars can result in an accident free world.

Page 18: Fuzzy logic in automated mobiles

FUTURE SCOPE• Now it is using only in costly cars like

BENZ,BMW,AUDI etc..in future we can get it for any cars.

Page 19: Fuzzy logic in automated mobiles

REFERENCES

• [1].www.fuzzy.com

• [2]. www.wikipedia.com

• [3]. www.maxim-ic.com

• [4]. www.youtube.com

• [5]. www.chrontel.com

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Page 21: Fuzzy logic in automated mobiles

QUERIES???????