05-04-2011, 10:52 AM
PRESENTED BY:
N.Naveen kumar
R.Venkata krishna
V.D.Ragadeepthi
P.S.Ranjit kumar
[attachment=11723]
OBJECTIVE
To implement speed control of a separately excited dc motor using fuzzy logic controller based on MATLAB and compare the response with P, PI and PID Controller.
Types of controllers used
Proportional Controller
Proportional and integral Controller
Proportional Integral and Derivative Controller
Fuzzy Logic Controller
Controller Specifications
Proportional Gain Kp = 5
Integral gain ki = 0.5
Derivative Gain Kd= 0.8
Advantages of FLC
Quicker response
Reliable
More accurate than P. PI, PID Controllers
Designed through knowledge of experience
Able to simplify complex systems
FLC DESCRIPTION AND DESIGN
The goal of FLC design is to minimize speed error.
FLC design in MATLAB is based on mamdani fuzzy type.
FLC Design
The details of the designed controller are,
Two Inputs: Error and Change of Error
One Output: Change of Alfa (Duty cycle)
And Method: minimum
Or Method: maximum
Implication Method: minimum
Aggregation Method: maximum
Defuzzification Method: Center of Gravity
The triangular and trapezoidal membership functions are used to subdivide the input and output universes and to define the degree of membership.
The speed control of DC motor through P, PI, PID controllers was studied and rule base for fuzzy controller is formed.
N.Naveen kumar
R.Venkata krishna
V.D.Ragadeepthi
P.S.Ranjit kumar
[attachment=11723]
OBJECTIVE
To implement speed control of a separately excited dc motor using fuzzy logic controller based on MATLAB and compare the response with P, PI and PID Controller.
Types of controllers used
Proportional Controller
Proportional and integral Controller
Proportional Integral and Derivative Controller
Fuzzy Logic Controller
Controller Specifications
Proportional Gain Kp = 5
Integral gain ki = 0.5
Derivative Gain Kd= 0.8
Advantages of FLC
Quicker response
Reliable
More accurate than P. PI, PID Controllers
Designed through knowledge of experience
Able to simplify complex systems
FLC DESCRIPTION AND DESIGN
The goal of FLC design is to minimize speed error.
FLC design in MATLAB is based on mamdani fuzzy type.
FLC Design
The details of the designed controller are,
Two Inputs: Error and Change of Error
One Output: Change of Alfa (Duty cycle)
And Method: minimum
Or Method: maximum
Implication Method: minimum
Aggregation Method: maximum
Defuzzification Method: Center of Gravity
The triangular and trapezoidal membership functions are used to subdivide the input and output universes and to define the degree of membership.
The speed control of DC motor through P, PI, PID controllers was studied and rule base for fuzzy controller is formed.