Open AccessAdaptive predictive current control technique for permanent magnet synchronous motors
Author(s) -
Sozer Yilmaz,
Torrey David A.,
Mese Erkan
Publication year - 2013
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2012.0155
Subject(s) - control theory (sociology) , inverter , digital signal processing , torque , model predictive control , digital signal processor , current (fluid) , controller (irrigation) , computer science , voltage , control engineering , voltage reference , digital control , synchronous motor , engineering , control (management) , electronic engineering , electrical engineering , thermodynamics , agronomy , physics , artificial intelligence , biology
Producing the required magnitude and shape of reference current is necessary to achieve precise torque control in motor control applications. A deadbeat predictive current controller provides very good dynamic performance. In order to achieve very accurate reference current production, the machine and inverter should be modelled properly with accurate parameters. Parameter changes, especially the back electromagnetic force (bemf) voltages and inverter delay elements, cause deadbeat current regulator performance to deteriorate significantly. This study addresses accurate determination of permanent magnet synchronous machine parameters dynamically online, taking into account the delay elements such as inverter output filters, calculation time steps of the control algorithm within the digital signal processor (DSP) and updating the current regulation accordingly. The new algorithm is simulated and experimentally tested. The simulation and experimental results of the new current regulation technique provide very good dynamic and steady‐state results, validating regulator performance.