On Continuous-Set Model. Predictive Control of Permanent Magnet Synchronous Machines

被引:24
|
作者
Hammoud, Issa [1 ,2 ]
Hentzelt, Sebastian [2 ]
Xu, Ke [2 ]
Oehlschlagel, Thimo [2 ]
Abdelrahem, Mohamed [1 ]
Hackl, Christoph [3 ]
Kennel, Ralph [1 ]
机构
[1] Tech Univ Munich, Inst Elect Dr Syst & Power Elect, D-80333 Munich, Germany
[2] IAV GmbH, Powertrain Mechatron Control Engn Excellence Clus, D-38518 Gifhorn, Germany
[3] Munich Univ Appl Sci, Lab Mechatron & Renewable Energy Syst, D-80335 Munich, Germany
关键词
Continuous-control-set model predictive control (CCS-MPC); first-principles nonlinear modeling; interior-point (IP) based optimization; permanent magnet synchronous machines; TORQUE CONTROL; PARAMETER-ESTIMATION; CONTROL STRATEGY;
D O I
10.1109/TPEL.2022.3164968
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This article presents a real-time realization of a continuous-control-set model predictive current controller for the two types of permanent magnet synchronous machines: 1) surface-mounted permanent magnet synchronous machine (SMPMSM) and 2) interior permanent magnet synchronous machine (IPMSM). The constrained optimization problem is solved online using a slack formulation of the primal-dual interior-point method. The proposed controller is tested on a 14.5 kW SMPMSM based on the linear time-invariant (LTI) model of the machine and on a 0.5 kW IPMSM. For the latter, we present in detail how the nonlinear first-principles modeling yields the fastest possible transient as well as an offset-free steady-state performance. The experimental results were obtained at sampling times typically used in the electrical drive applications (125 and 100 mu s for the two machines, respectively).
引用
收藏
页码:10360 / 10371
页数:12
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