Title :
Position-Offset-Based Parameter Estimation Using the Adaline NN for Condition Monitoring of Permanent-Magnet Synchronous Machines
Author :
Kan Liu ; Zhu, Z.Q.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK
Abstract :
This paper proposes how to use the addition of rotor position offsets as perturbation signals for the parameter estimation of permanent-magnet synchronous machines (PMSMs), which can be used for the condition monitoring of rotor permanent magnet and stator winding. During the proposed estimation, two small position offsets are intentionally added into the drive system, and the resulting voltage variation will be recorded for the estimation of rotor flux linkage. With the aid from estimated rotor flux linkage, the stator winding resistance can be subsequently estimated at steady state. This method is experimentally verified on two prototype PMSMs (150 W and 3 kW, respectively) and shows good performance in monitoring the variation of rotor flux linkage and winding resistance.
Keywords :
condition monitoring; neural nets; parameter estimation; permanent magnet machines; rotors; stators; synchronous machines; Adaline NN; condition monitoring; permanent-magnet synchronous machines; position-offset-based parameter estimation; power 150 W; power 3 kW; rotor flux linkage; rotor permanent magnet; rotor position; stator winding; voltage variation; winding resistance; Couplings; Estimation; Parameter estimation; Resistance; Rotors; Stator windings; Windings; Adaline neural network; Adaline neural network (NN); condition monitoring; parameter estimation; parameter identification; permanent magnet synchronous machine; permanent-magnet synchronous machine (PMSM); position offset; rotor flux linkage; stator winding resistance;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2014.2360145