Application of PSO Algorithm in PMSM Sensorless Control System

Tian Pei Zhou

doi:10.4028/www.scientific.net/AMM.328.123

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 328Application of PSO Algorithm in PMSM Sensorless...

Application of PSO Algorithm in PMSM Sensorless Control System

Abstract:

Aiming at difficulty of determining the noise matrix parameter, PSO algorithm is applied to the optimization of noise parameter matrix. the fitness function is the time integral of the absolute value of the deviation between actual value and estimated value of the motor speed, the position of the particle, which makes the value of fitness function the smallest, is ultimately determined through constantly adjusting the position of the particle in the space, thereby computing matrix with the smallest deviation. The results show that the precision of speed estimation is obviously improved after noise matrix parameters of the system are optimized by PSO algorithm. And optimized waveform pulse of the motor speed is diminishes, speed-governing is more stable.

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Periodical:

Applied Mechanics and Materials (Volume 328)

Pages:

123-127

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.328.123

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Online since:

June 2013

Authors:

Tian Pei Zhou

Keywords:

Extended Kalman Flter (EKF), Particle Swarm Optimization (PSO) Algorithm, Permanent Magnet Synchronous Motor (PMSM), Sensor Less Control

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