Title :
Using on-line parameter estimation to improve efficiency of IPM machine drives
Author :
Kim, Hyunbae ; Hartwig, Jason ; Lorenz, Robert D.
Author_Institution :
Dept. of Mech. Eng., Wisconsin Univ., Madison, WI, USA
Abstract :
This paper presents a means to improve the efficiency of interior permanent magnet (IPM) synchronous machine drives which can be best implemented via continuous online self tuning. With this technique an improved maximum torque-per-ampere trajectory for IPM machine can be implemented including the effect of magnetic saturation. This improved trajectory can be shown to improve efficiency. The model-based estimation algorithm is based on commanded voltage and measured current and rotor position/velocity. The model has two equations where cross-coupled parameters can be eliminated for the robustness of parameter estimation. Parameter estimation is improved by combining the model with a closed loop observer. This algorithm is suitable for online estimation. The performance of this algorithm is illustrated by experimentation. The vector controller using this algorithm controls motor torque accurately under any load and speed.
Keywords :
adaptive control; control system analysis; control system synthesis; machine theory; machine vector control; observers; parameter estimation; permanent magnet motors; robust control; self-adjusting systems; synchronous motor drives; torque control; closed loop observer; continuous online self tuning; efficiency improvement; interior permanent magnet synchronous motor drives; maximum torque-per-ampere trajectory; motor torque control algorithm; online parameter estimation; robustness; vector controller; Current measurement; Equations; Parameter estimation; Permanent magnets; Position measurement; Saturation magnetization; Synchronous machines; Torque control; Velocity measurement; Voltage measurement;
Conference_Titel :
Power Electronics Specialists Conference, 2002. pesc 02. 2002 IEEE 33rd Annual
Print_ISBN :
0-7803-7262-X
DOI :
10.1109/PSEC.2002.1022554