In this project fuzzy control is used to regulate the speed of a vehicle depending on the distance between vehicle 1 and vehicle 2.
The vehicle is mounted with a wireless transmitter and backward vehicle is mounted with a wireless receiver. The distance between the two is given as a variable voltage by the electronic circuitry which in this case is a CPU but in actual case will be an embedded micro controller system. Depending on the distance between the two vehicles a speed control system is affected using fuzzy logic and thereby the collision is totally avoided.
Features:
a) Detects the proximity of the distance between two speeding vehicles and accordingly provides a fuzzy control action
b) Used in unmanned Research vehicle systems.
c) Can be extended in a GPS environment to track the position of the vehicle also as done in a flight system.
d) Speed control is effected automatically and hence is very effective in blind track systems/vision less systems.
Typical fuzzy rules used for speed regulation includes.
a) If proximity of receiving vehicle is far from transmitting vehicle then the speed of receiving vehicle is max.
b) If proximity of receiving vehicle is medium from transmitting vehicle then the speed of receiving vehicle is medium.
c) If proximity of receiving vehicle is close to transmitting vehicle then the speed of receiving vehicle is min.
d) If proximity of receiving vehicle is very close to transmitting vehicle then the speed of receiving vehicle is zero.
Thus in the above project the speed of the vehicle is regulated depending on the magnitude of the distance between two vehicles. The scheme finds lot of application in collision prevention in highways/vision less roads/steep turns etc.
Circuits involved:
a) Signal conditioning circuit
b) A/D converter
c) F to V Convertor
d) Driver circuits to run stepper motor
e) Intelligent Microcontroller
f) Stepper Motor whose speed is to be regulated.
Input of the fuzzy control system
We use two input values to determine the output of the Fuzzy Control System. The inputs to Fuzzy inputs are
iii. Distance
iv. Speed
Distance = Distance from the object to the vehicle. Distance can be given as a input from the potentiometer.
Speed = Speed of the vehicle. Speed can be determined by using FTOV Circuit.
The vehicle is mounted with a wireless transmitter and backward vehicle is mounted with a wireless receiver. The distance between the two is given as a variable voltage by the electronic circuitry which in this case is a CPU but in actual case will be an embedded micro controller system. Depending on the distance between the two vehicles a speed control system is affected using fuzzy logic and thereby the collision is totally avoided.
Features:
a) Detects the proximity of the distance between two speeding vehicles and accordingly provides a fuzzy control action
b) Used in unmanned Research vehicle systems.
c) Can be extended in a GPS environment to track the position of the vehicle also as done in a flight system.
d) Speed control is effected automatically and hence is very effective in blind track systems/vision less systems.
Typical fuzzy rules used for speed regulation includes.
a) If proximity of receiving vehicle is far from transmitting vehicle then the speed of receiving vehicle is max.
b) If proximity of receiving vehicle is medium from transmitting vehicle then the speed of receiving vehicle is medium.
c) If proximity of receiving vehicle is close to transmitting vehicle then the speed of receiving vehicle is min.
d) If proximity of receiving vehicle is very close to transmitting vehicle then the speed of receiving vehicle is zero.
Thus in the above project the speed of the vehicle is regulated depending on the magnitude of the distance between two vehicles. The scheme finds lot of application in collision prevention in highways/vision less roads/steep turns etc.
Circuits involved:
a) Signal conditioning circuit
b) A/D converter
c) F to V Convertor
d) Driver circuits to run stepper motor
e) Intelligent Microcontroller
f) Stepper Motor whose speed is to be regulated.
Input of the fuzzy control system
We use two input values to determine the output of the Fuzzy Control System. The inputs to Fuzzy inputs are
iii. Distance
iv. Speed
Distance = Distance from the object to the vehicle. Distance can be given as a input from the potentiometer.
Speed = Speed of the vehicle. Speed can be determined by using FTOV Circuit.
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