DocumentCode :
2018011
Title :
A new approach to Predictive Torque Control with Dual Parallel PMSM system
Author :
Ngoc Linh Nguyen ; Fadel, Maurice ; Llor, Ana
Author_Institution :
LAPLACE (Lab. Plasma et Conversion d´Energie), Univ. de Toulouse, Toulouse, France
fYear :
2013
fDate :
25-28 Feb. 2013
Firstpage :
1806
Lastpage :
1811
Abstract :
An original approach to Predictive Torque Control “Split and Seek” (PTC SS) for Mono-Inverter Dual-Parallel Permanent Magnet Synchronous Machines (PMSM) system is presented. Only one cost function for both PMSM is defined to be minimized through the PTC approach. Unlike the Master-Slave classical control, solution of the cost function will depend on both PMSM references. The principle of this approach is to extend the possibilities of control by offering additional virtual vectors and to find the vector which minimizes the cost function. This process includes two steps: first one is searching for the angle and second one is searching for the magnitude. A model of the system is used to predict the behavior in the next sampling interval under these different virtual voltage vectors. After that, space vector modulation (SVM) technique will be applied to synthesize this vector. Simulations were built under Matlab/Simulink software to verify the applicability of this new approach. The obtained results verify the synchronism of two machines and the correct current tracking under different load and speed conditions. The performance improvement is highlighted from specific tests.
Keywords :
machine vector control; permanent magnet machines; predictive control; synchronous machines; torque control; Matlab-Simulink software; PMSM references; PTC approach; SVM technique; current tracking; load conditions; master-slave classical control; mono-inverter dual-parallel PMSM system; mono-inverter dual-parallel permanent magnet synchronous machines system; predictive torque control; sampling interval; space vector modulation technique; speed conditions; virtual voltage vectors; Cost function; Inverters; Mathematical model; Predictive models; Support vector machines; Torque; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2013 IEEE International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4673-4567-5
Electronic_ISBN :
978-1-4673-4568-2
Type :
conf
DOI :
10.1109/ICIT.2013.6505950
Filename :
6505950
Link To Document :
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