Rotor Speed Identification of PMSM on DTC System Based on PSO and CMAC Neural Network Algorithms

Li Li; Shao Zhong Cao

doi:10.4028/www.scientific.net/AMM.44-47.3879

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 44-47Rotor Speed Identification of PMSM on DTC System...

Rotor Speed Identification of PMSM on DTC System Based on PSO and CMAC Neural Network Algorithms

Abstract:

Both the PSO (particle swarm optimization) for global search algorithm and the CMAC (cerebella model articulation controller) algorithm are used in the speed loop of direct torque control system in the permanent magnet synchronous motor. Firstly, the PSO algorithm is applied to search the optimal PID parameters in the domain space, and then the CMAC neural network is adopted to learn and train of the results which derive from the output of the PSO algorithm to furthermore optimize the PID parameters which can improve stability of the system. The DTC control system based on PSO with CMAC algorithmic and the traditional DTC (direct torque control) control system are established and simulated in the MATLAB circumstance whose results were all compared. It revels that the DTC control system based on PSO with CMAC algorithmic is fast response, ideal flux, and good anti-jamming.

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Periodical:

Applied Mechanics and Materials (Volumes 44-47)

Pages:

3879-3883

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.44-47.3879

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Online since:

December 2010

Authors:

Li Li, Shao Zhong Cao

Keywords:

Cerebella Model Articulation Controller, Direct Torque Control (DTC), Particle Swarm Optimization Algorithm (PSO), Permanent Magnet Synchronous Motor (PMSM), Rotor Speed Identification

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References

[1] M.P. Donsion: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Vol. 27(2008), pp.946-957.

Google Scholar

[2] Prerna Gaur, Bhim Singh and A.P. Mittal: Annals of Biomedical Engineering Vol. 25(1997), pp.1040-1051.

Google Scholar

[3] Zhong L, Raham M F and Hu W Yet al: IEEE Transactions on Energy Conversion Vol. 14(1999), pp.637-642.

Google Scholar

[4] GAING ZWE-LEE: IEEE Transactions on Energy Conversion Vol. 3(2004), pp.325-333.

Google Scholar

[5] Paulo E M Almeida and Godoy Simoes M.: Industry Applications Conference, 37th IAS Annual Meeting Vol. 2(2002), pp.1432-1438.

Google Scholar

[6] Honghai Niu, Rongxiang Zhao: electric drive Vol. 36(2006) , pp.04-07，in Chinese.

Google Scholar

[7] Hongtao Zhang, Hongli Hu and Bin Wang: Control Theory and Applications Vol. 27(2008), pp.12-14, in Chinese.

Google Scholar

[8] ChengZhi Cao, Yang Liu and XiLing Jiang: Journal of System Simulation Vol. 20(2008), pp.5519-5523, in Chinese.

Google Scholar