Title :
Estimated-speed-aided stabilizers for sensorless control of interior permanent magnet synchronous machines
Author :
Zhao, Yue ; Qiao, Wei ; Wu, Long
Author_Institution :
Dept. of Electr. Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
Abstract :
Robust rotor position observer is one of the key issues in the position sensorless interior permanent magnet synchronous machine (IPMSM) drive system design. Several model-based observers have been proposed to estimate rotor position and speed without mechanical sensors. However, because of unmodeled nonlinearities, e.g., inverter dead-time effect, inductance cross saturation, as well as other machine parameter drift and variation, there will be instability phenomena in a close-loop sensorless control with estimated position and speed during large load transients. This paper proposes two estimated-speed-aided stabilizers (ESASs) to improve the transient stability and large transient ride through capability of a sliding-mode observer (SMO)-based position senseless IPMSM drive. Since the change of rotor speed is much slower than that of rotor position in medium and high speed range, the proposed stabilizers utilize the estimated rotor speed to predict a rotor position, which is then used to assist the sensorless control system remain stable during large load transients. Both stabilizers are validated by simulations in MATLAB Simulink and experimental results on a practical high power IPMSM drive system.
Keywords :
closed loop systems; electric drives; invertors; load (electric); observers; permanent magnet machines; robust control; rotors; sensorless machine control; synchronous machines; variable structure systems; ESAS; MATLAB Simulink; SMO-based position senseless IPMSM drive; closed loop sensorless control system; estimated-speed-aided stabilizers; high power IPMSM drive system; inductance cross saturation; instability phenomena; interior permanent magnet synchronous machines; inverter dead-time effect; large load transients; large transient ride through capability; machine parameter drift; machine parameter variation; model-based observers; position sensorless IPMSM drive system design; robust rotor position observer; rotor position estimation; rotor position prediction; rotor speed estimation; sliding mode observer; transient stability improvement; Mathematical model; Observers; Position measurement; Rotors; Sensorless control; Stability analysis; Transient analysis; Estimated speed; interior permanent magnet synchrnous machine (IPMSM); sensorless drive; sliding-mode observer (SMO); stabilizer;
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2012 IEEE
Conference_Location :
Raleigh, NC
Print_ISBN :
978-1-4673-0802-1
Electronic_ISBN :
978-1-4673-0801-4
DOI :
10.1109/ECCE.2012.6342391