ABSTRACT:
To precisely
control the speed of BLDC motors at high speed and with very good performance,
an accurate motor model is required. As a result, the controller design can
play an important role in the effectiveness of the system. The classic controllers
such as PID are widely used in the BLDC motor controllers, but they are not
appropriate due to non-linear model of the BLDC motor. To enhance the
performance and speed of response, many studies were taken to improve the adjusting
methods of PID controller gains by using fuzzy logic. Use of fuzzy logic
considering approximately interpretation of the observations and determination
of the approximate commands, provides a good platform for designing intelligent
robust controller. Nowadays type-2 fuzzy logic is used because of more ability
to model and reduce uncertainty effects in rule-based fuzzy systems. In this
paper, an interval type-2 fuzzy logic-based proportional-integral-derivative
controller (IT2FLPIDC) is proposed for speed control of brushless DC (BLDC)
motor. The proposed controller performance is compared with the conventional
PID and type-1 fuzzy logic-based PID controllers, respectively in MATLAB/Simulink
environment. Simulation results show the superior IT2FLPIDC performance than
two other ones.
KEYWORDS:
1.
Brushless DC (BLDC) Motor
2.
Invertal Type-2 Fuzzy Logic
3.
Speed Control
4.
Self-tuning PID Controller
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
Figure
1. Block Diagram of speed control of BLDC Motor
EXPECTED SIMULATION RESULTS:
Figure
2. Speed Deviation of BLDC Motor
Figure
3. Load Deviation of BLDC Motor
Figure
4. Torque Deviation of BLDC Motor
CONCLUSION:
In this paper, the speed control of the
BLDC motor is studied and simulated in MATLAB/Simulink. In order to overcome
uncertainties and variant working condition, the adjustment of PID gains
through fuzzy logic is proposed. In this study, three controller types are
considered and compared: conventional PID, type-1 and type-2 fuzzy-based self-tuning
PID controllers. The simulation results show that type-2 fuzzy PID controller
has superior performance and response than two other ones.
REFERENCES:
[1] A. Sathyan, N. Milivojevic, Y. J.
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[2] F. Rodriguez and A. Emadi, “A novel
digital control technique for brushless DC motor drives,” IEEE Trans. Ind.
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[3] Y. Liu, Z. Q. Zhu, and D. HoweDirect
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Trans. Ind. Appl., vol. 41, no. 2, pp. 599-608, March/April 2005.
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