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15

ISDA
2008
IEEE

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Optimal Tuning of PI Speed Controller Using Nature Inspired Heuristics

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Optimal Tuning of PI Speed Controller Using Nature Inspired Heuristics

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This paper presents a comparative study of three popular, Evolutionary Algorithms (EA); Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) for optimal tuning of Proportional Integral (PI) speed controller in Permanent Magnet Synchronous Motor (PMSM) drives. A brief description of all the three algorithms and the definition of the problem are given.

Millie Pant, Radha Thangaraj, Ajith Abraham

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Algorithms | ISDA 2008 | Magnet Synchronous Motor | Operating Systems | Particle Swarm Optimization |

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Added	31 May 2010
Updated	31 May 2010
Type	Conference
Year	2008
Where	ISDA
Authors	Millie Pant, Radha Thangaraj, Ajith Abraham

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