Imperialist Competitive Algorithm ( ICA )-Optimized Fuzzy Logic Speed Control of DTC Induction Motor Drives

@inproceedings{Ghadiri2013ImperialistCA,
  title={Imperialist Competitive Algorithm ( ICA )-Optimized Fuzzy Logic Speed Control of DTC Induction Motor Drives},
  author={Mohammad Reza Ghadiri and Mansor Khaksaran},
  year={2013}
}
In this paper, Imperialist Competitive Algorithm (ICA) is employed to optimize Fuzzy Logic Controller (FLC) as the speed controller of an Induction Motor (IM) in the Direct Torque Control (DTC) method. In order to achieve better control performance, the ICA optimizes the parameters of the FLC consisting of input and output membership functions (MFs) and normalization factors. Since, the proposed FLC speed controller has a few rules, it requires less computation. Simulation results show that… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 28 references

Sensorless Vector and Direct Torque Control

P. Vas
1998
View 4 Excerpts
Highly Influenced

Research on Direct Torque Control of Induction Motor Based on Genetic Algorithm and Fuzzy Adaptive PI Controller

2010 International Conference on Measuring Technology and Mechatronics Automation • 2010
View 1 Excerpt

Study of Fuzzy Control in Direct Torque Control system

2009 International Conference on Artificial Intelligence and Computational Intelligence • 2009
View 3 Excerpts

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