NDLI: Predictive DTC schemes with PI regulator and particle swarm optimization for PMSM drive: comparative simulation and experimental study

Content Provider	Springer Nature Link
Author	Mesloub, H. Benchouia, M. T. Goléa, A. Goléa, N. Benbouzid, M. E. H.
Copyright Year	2016
Abstract	This paper shows that a predictive control (PC) combined with the principle of direct torque control (DTC) leads to an excellent dynamic behavior of the permanent magnets synchronous machine (PMSM) and mitigates the drawbacks of the conventional DTC. In this paper, a predictive direct torque control (PDTC) of a PMSM based on classical PI regulator and particle swarm optimization (PSO) algorithm is developed. The PSO adjusts the parameters of the PI controller, which improves its adjustive capability. The effectiveness of the proposed PDTC based a PSO controller is then compared with that of the conventional PI controller. The numerical simulation is performed using MATLAB-Simulink and SimPowerSystem Toolbox. The main contribution of this work is the implementation of the proposed controller on a test bench around a dSPACE 1104. Simulation and experimental results are presented in order to demonstrate the effectiveness of the proposed techniques. Besides, the system associated with these techniques reduces effectively the flux and the torque ripples with better dynamic and steady state performance. The results with the PSO show more performances and a considerable reduction in torque and flux ripples than the results with the conventional PI.
Starting Page	3123
Ending Page	3134
Page Count	12
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	86
Issue Number	9-12
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2016-02-10
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Permanent magnet synchronous motor (PMSM) Direct torque control (DTC) Particle swarm optimized (PSO) Predictive control (PC) Practical validation Industrial and Production Engineering Production Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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