ABSTRACT:
Because of the low maintenance and robustness induction
motors have many applications in the industries. Most of these applications
need fast and smart speed control system. This paper introduces a smart speed
control system for induction motor using fuzzy logic controller. Induction
motor is modeled in synchronous reference frame in terms of dq form. The
speed control of induction motor is the main issue achieves maximum torque and
efficiency. Two speed control techniques, Scalar Control and Indirect Field
Oriented Control are used to compare the performance of the control system with
fuzzy logic controller. Indirect field oriented control technique with fuzzy logic
controller provides better speed control of induction motor especially with
high dynamic disturbances. The model is carried out using Matlab/Simulink
computer package. The simulation results show the superiority of the fuzzy
logic controller in controlling three-phase induction motor with indirect field
oriented control technique.
KEYWORDS:
1.
Vector control
2.
Fuzzy logic
3.
Induction
motor drive
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig.
1. Block diagram of scalar controller for IM.
Fig.
2. Indirect Field Oriented Control of IM.
EXPECTED SIMULATION RESULTS:
Fig.
3. Speed response of scalar and vector control
Fig
4. Torque response of scalar and vector control.
Fig.
5. Flux response of scalar control.
Fig.
6. Flux response of vector control.
CONCLUSION:
Fuzzy
logic controller shows fast control response with three-phase induction motor.
Two different control techniques are used with Fuzzy logic controllers which
are scalar and field oriented control techniques. Fuzzy logic controller system
shows better response with these two techniques. Meanwhile, the scalar
controller has a sluggish response than FOC because of the inherent coupling
effect in field and torque components. However, the developed fuzzy logic
control with FOC shows fast response, smooth performance, and high dynamic
response with speed changing and transient conditions.
REFERENCES:
[1]
A. Mechernene, M. Zerikat and M. Hachblef, “Fuzzy speed regulation for
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[2]
Leonhard, W.,” Controlled AC drives, a successful transfer from ideas to
industrial practice”, CETTI, pp: 1-12, 1995.
[3]
M. Tacao, “Commandes numérique
de machines asynchrones par lagique floue”, thése de PHD, Université de Lava- faculté des science et de génie Québec, 1997.
[4]
Fitzgerald, A.E. et al., Electric Machinery, 5th Edn, McGraw-Hill, 1990.
[5]
Marino, R., S. Peresada and P. Valigi, “Adaptive input-output linearizing
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