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FUZZY LOGIC IN AUTOMATED MOBILES

                          BY
                    K.Hemanth Sankar
Outlines

•   Abstract
•   Fuzzy logic Introduction
•   Results and discussions
•   Applications
•   Advantages
•   Conclusion
•   Future scope
•   References
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.
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.
FUZZY LOGIC REPRESENTATION:-
                             Slowest(snail)
   For every problem it
                             [ 0.0 – 0.25 ]
    must represent in
    terms of fuzzy sets.
                             Slow(tortoise)
                             [ 0.25 – 0.50 ]

   For different speeds     Fast(dog)
    the logic differs from
                             [ 0.50 – 0.75 ]
    each other.

                              Fastest(cheeta)
                              [ 0.75 – 1.00 ]
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 )
COMPLEXITY vs. PRECISION IN THE
MODEL:-
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.
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.
FROM THE GRAPH IT IS CLEAR THAT
THE SENSING DISTANCE ALMOST
VARIES LINEARLY WITH SPEED.
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:-
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.
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 .
• 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.
APPLICATIONS:

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

• Avoid accidents
• Less strain on human
• Easy to operate
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.
FUTURE SCOPE
• Now it is using only in costly cars like
  BENZ,BMW,AUDI etc..in future we can get it
  for any cars.
REFERENCES


• [1].www.fuzzy.com

• [2]. www.wikipedia.com

• [3]. www.maxim-ic.com

• [4]. www.youtube.com

• [5]. www.chrontel.com
QUERIES???????

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Fuzzy logic in automated mobiles

  • 1. FUZZY LOGIC IN AUTOMATED MOBILES BY K.Hemanth Sankar
  • 2. Outlines • Abstract • Fuzzy logic Introduction • Results and discussions • Applications • Advantages • Conclusion • Future scope • References
  • 3. 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.
  • 4. 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.
  • 5. FUZZY LOGIC REPRESENTATION:- Slowest(snail)  For every problem it [ 0.0 – 0.25 ] must represent in terms of fuzzy sets. Slow(tortoise) [ 0.25 – 0.50 ]  For different speeds Fast(dog) the logic differs from [ 0.50 – 0.75 ] each other. Fastest(cheeta) [ 0.75 – 1.00 ]
  • 6. 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 )
  • 7. COMPLEXITY vs. PRECISION IN THE MODEL:-
  • 8. 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.
  • 9. 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.
  • 10. FROM THE GRAPH IT IS CLEAR THAT THE SENSING DISTANCE ALMOST VARIES LINEARLY WITH SPEED.
  • 11. 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:-
  • 12. 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.
  • 13. 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 .
  • 14. • 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.
  • 15. APPLICATIONS: • Auto car parking system • Temperature Controller • Anti – Lock Break System ( ABS )
  • 16. ADVANTAGES : • Avoid accidents • Less strain on human • Easy to operate
  • 17. 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.
  • 18. FUTURE SCOPE • Now it is using only in costly cars like BENZ,BMW,AUDI etc..in future we can get it for any cars.
  • 19. REFERENCES • [1].www.fuzzy.com • [2]. www.wikipedia.com • [3]. www.maxim-ic.com • [4]. www.youtube.com • [5]. www.chrontel.com
  • 20.