IEEE Transactions on Industrial Electronics, 2013
ABSTRACT:
This
paper presents a predictive voltage control scheme for effective control of
transformer-less dynamic voltage restorer (TDVR). This control scheme utilizes
discrete model of voltage source inverter (VSI) and interfacing filter for
generation of switching strategy of inverter switches. Predictive voltage
control algorithm based TDVR tracks reference voltage effectively and maintains
load voltages sinusoidal during various voltage disturbances as well as load
conditions. Moreover, this scheme does not require any linear controller or
modulation technique. Simulation and experimental results are presented to verify
the performance of proposed scheme.
KEYWORDS:
1. Predictive
voltage control
2. Transformer-less
dynamic voltage restorer (TDVR)
3. Voltage
disturbance
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig.1.
Single-phase TDVR compensated distribution system.
EXPECTED SIMULATION RESULTS:
Fig.2.
Simulation waveforms under voltage sag with 5 mH filter inductance. (a) Source
voltage. (b) Load voltage.
Fig.3.
Simulation waveforms under voltage sag. (a) Source voltage. (b) Load voltage.
Fig.4.
Simulation wave forms under voltage swell. (a) Source voltage. (b) Load voltage.
Fig.5.
Simulation waveforms under voltage sag with RC type nonlinear load. (a) Source
voltage. (b) Load voltage. (c) Load current.
CONCLUSION:
This
paper presents the speed control of BLDC motor using anti wind up PI controller
and fuzzy controller for three phase BLDC motor. The simulation results are
compared with PI controller results. The conventional PI controller results are
slower compared to fuzzy and anti wind up controllers. From the simulation
results, it is clear that for the load variation anti wind up PI controller
gave better response than conventional PI and fuzzy controller. Hence anti wind
up PI controller is found to be more suitable for BLDC motor drive during load
variation. It can also be observed from the simulation results that performance
of fuzzy controller is better during the case of speed variation.
REFERENCES:
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Arulmozhiyal, R. Kandibanv, “Design of Fuzzy PID Controller for Brushless DC
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[2] Anirban
Ghoshal and Vinod John, “Anti-windup Schemes for Proportional Integral and
Proportional Resonant Controller”, in Proc. National Power electronic conference,
Roorkee, 2010.
[3] M.
F. Z. Abidin, D. Ishak and A. Hasni Abu Hassan, “A Comparative Study of PI,
Fuzzy and Hybrid PI Fuzzy Controller for Speed Control of Brushless DC Motor
Drive”, in Proc. IEEE International conference on Computer applications and
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[4] J.
Choi, C. W Park, S. Rhyu and H. Sung, “Development and Control of BLDC Motor
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Automation and Mechatronics, Chengdu, 2004.
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Bohn and D.P. Atherton, “An analysis package comparing PID anti-windup
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