This document compares PID and fuzzy logic control methods for controlling brushless DC motors. It provides the mathematical model of a BLDC motor and describes the design and implementation of PID and fuzzy logic controllers. Experimental results show that while PID controllers perform adequately, fuzzy logic controllers can better handle nonlinearities and parameter variations. A fuzzy PID controller is also proposed to take advantage of both methods for robust BLDC motor speed control.

1. BRUSHLESS DC MOTOR
CONTROL USING PID &
FUZZY LOGIC CONTROL
Amiya Ranjan Behera
140916013
EMAL

2. CONTENTS :
 Introduction
 BLDC
 Mathematical model of BLDC
 BLDC control by PID controller
 Advantage & disadvantages of PID controller
 BLDC control by FUZZY controller
 Result & discussion
 Comparison between PID & Fuzzy controller
 BLDC control by Fuzzy PID controller
 Conclusion
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3. INTRODUCTION :
 Brushless DC (BLDC) servomotor drives have been
widely used in aeronautics, electric vehicles, robotics,
and food & chemical industries.
 P,PI & PID controller are being used with the BLDC
servomotor drive control system to achieve satisfactory
transient and steady state response.
 Now a days PID & FUZZY logic controllers are the main
controller being used to control BLDC.
 It is essential to know the exact mathematical model of
the systems or response of the system for designing
these controller.
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4. WHAT IS BLDC ?
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5. MATHEMATICAL MODELING OF BLDC :
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6. DESIGN OF PID CONTROLLER :
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 The PID controller algorithm involves three separate constant
parameters, and is accordingly sometimes called three-term
control: the proportional, the integral and derivative values,
denoted P, I, and D.
 Defining as the controller output, the final form of the PID
algorithm is:
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7. IMPLEMENTATION PID CONTROLLER :
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8. ADVANTAGE & DISADVANTAGES OF PID :
 It is well known that the conventional PID
controllers will yield better transient and steady-
state responses, if the system parameters remain
unchanged during the operating conditions.
 But the parameters of the practical systems change
during operating conditions. As a result, the PID
controllers failed to yield desired performance
under nonlinearity, load disturbances, and
parameter variations of motor and load.
 This has resulted in an increase in demand for
nonlinear controllers, intelligent and adaptive
controllers.
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9. DESIGN OF FUZZY CONTROLLER :
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10. IMPLEMENTATION FUZZY CONTROLLER :
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11. EXPERIMENTAL RESULT :
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12. DISADVANTAGES OF FUZZY CONTROLLER:
 It is not useful for programs much larger or smaller
than the historical data.
 It requires a lot of data
 The estimators must be familiar with the historically
developed programs
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13. BLDC CONTROL BY FUZZY PID
CONTROLLER:
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 Fuzzy PID control is in the PID control based on
fuzzy control theory.
 The main motivation for this design is to control
some known nonlinear systems, which violate the
conventional assumption of the linear PID
controller.
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14. CONCLUSION :
 The PID and fuzzy control techniques are
successfully implemented for the BLDC servomotor
drive system. The effect of parameter variations on
the performance of the BLDC servomotor drive
system is investigated with experimental results.
 Since the PID-fuzzy control system is easy to
design and implement, effective in dealing with the
uncertainties and parameter variations, and has
better overall performance, fuzzy-PID controller-
based BLDC servomotor drive system may be
preferred over PID controller-based BLDC
servomotor drive for automation, robotics, position
and velocity control systems, and industrial control
applications.
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15. REFERENCES :
 R. Krishnan, Permanent Magnet Synchronous and
Brushless DC Motor Drives: Theory, Operation,
Performance, Modelling , Simulation, Analysis, and
Design—Part 3, Permanent Magnet Brushless DC
Machines and their Control. Boca Raton.
 P. Pillay and R. Krishnan, “Modelling, simulation,
and analysis of permanent-magnet motor drives,
part ii: The brushless dc motor drive,”IEEE Trans.
Ind. Appl., vol. 25, no. 2
 R. Shanmugasundram, K. M. Zakariah, and N.
Yadaiah, “Low-cost high-performance brushless dc
motor drive for speed control applications,” in Proc.
IEEE Int. Conf. Adv. Recent Technol..
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