BRUSHLESS DC MOTOR CONTROL USING PID & FUZZY LOGIC CONTROL

Amiya Ranjan Behera140916013EMAL

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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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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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WHAT IS BLDC ?

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MATHEMATICAL MODELING OF BLDC :

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DESIGN OF PID CONTROLLER : 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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IMPLEMENTATION PID CONTROLLER :

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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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DESIGN OF FUZZY CONTROLLER :

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IMPLEMENTATION FUZZY CONTROLLER :

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EXPERIMENTAL RESULT :

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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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BLDC CONTROL BY FUZZY PID CONTROLLER:

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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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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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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