DocumentCode
2465257
Title
Comparative study of two Predictive Current Controls for a Permanent Magnet Synchronous Machine drive
Author
Morel, Florent ; Lin-Shi, Xuefang ; Retif, Jean-Marie ; Allard, Bruno
Author_Institution
AMPERE, INSA de Lyon, Villeurbanne
fYear
2008
fDate
15-19 June 2008
Firstpage
3068
Lastpage
3073
Abstract
This paper presents the experimental results-based comparison of two predictive current controls (PCC) for permanent magnet synchronous machines (PMSM) drives. The first tested control scheme is based on a model including the inverter and the PMSM and taking into account the discrete nature of the inverter leg states. It predicts the future evolution of the currents for each possible configuration of the inverter. The switching state which minimizes a given cost function is selected. The selected inverter state is applied during the next sampling time. The second tested control scheme uses a model of the PMSM to predict the output voltages which allow to reach desired currents after one modulation period. A new algebraic method is presented to directly compute the duty cycle of each leg. Then a modulator generates the corresponding gate drive pulses of the inverter. These two control schemes are tested with a 1.6 kW PMSM drive at several operating points during steady state and transient operation. A detailed comparison of results is given. Advantages and drawbacks of each method are discussed.
Keywords
algebra; electric current control; invertors; machine control; permanent magnet motors; predictive control; synchronous motor drives; PMSM drives; algebraic method; inverter leg states; modulator; permanent magnet synchronous machine drive; power 1.6 kW; predictive current controls; switching state; Cost function; Current control; Inverters; Leg; Permanent magnet machines; Predictive models; Pulse modulation; Sampling methods; Testing; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics Specialists Conference, 2008. PESC 2008. IEEE
Conference_Location
Rhodes
ISSN
0275-9306
Print_ISBN
978-1-4244-1667-7
Electronic_ISBN
0275-9306
Type
conf
DOI
10.1109/PESC.2008.4592421
Filename
4592421
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