An Effective Torque Ripple Reduction for Permanent Magnet Synchronous Motor Using Ant Colony Optimization

In order to optimize the direct torque control performance of the permanent magnet synchronous motor (PMSM) system with different disturbances and uncertainties, development of an effective torque ripple reduction technique for PMSM servo drive using ant colony optimization (ACO) has been explained...

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Bibliographic Details
Published in:International journal of fuzzy systems 2015-12, Vol.17 (4), p.577-584
Main Authors: Senthil Rama, R., Latha, P.
Format: Article
Language:English
Subjects:
Algorithms
Ant colony optimization
Artificial Intelligence
Computational Intelligence
Controllers
Design specifications
Engineering
Harmonic distortion
Heuristic
Management Science
Operations Research
Optimization
Parameter robustness
Permanent magnets
Pheromones
Reduction
Servoamplifiers
Space vector modulation
Synchronous motors
Torque
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Summary:In order to optimize the direct torque control performance of the permanent magnet synchronous motor (PMSM) system with different disturbances and uncertainties, development of an effective torque ripple reduction technique for PMSM servo drive using ant colony optimization (ACO) has been explained in this paper. ACO algorithm has been tested on a large number of samples as it produces a reduced total harmonic distortion result than other algorithms. So it is robust against motor parameter and load torque variations due to the usages of space vector modulation technique. The performance of the proposed controller is established through MATLAB and Simulink simulation with the comparisons of conventional and ANFIS controller. The simulation results explain a significant augmentation in abbreviating development time, and the system performance is also improved and it produces results very close to those of the currently best performing algorithms.
ISSN:1562-2479
2199-3211
DOI:10.1007/s40815-015-0077-5