The estimation of d-and q-axis parameters is highly desirable, because they are fundamental parameters to many vector control algorithms in the d-q reference frame for fast and accurate responses. Using the finite element method (FEM) for the determination of the interior permanent magnet synchronous motor (IPM) reactance provides an accurate means of determining the field distribution. However, this method might be time consuming. The magnetic circuit modelling approach has been successfully used to model a variety of electrical machine such as IPM motors. This paper deals with the inverse problem methodology for the identification of d-and q-axis synchronous reactance of an IPM motor. The proposed method uses a measured electromotive force (EMF) to compute the objective function. The machine parameters identified by the proposed approach are compared to experimental results.
In comparison models for system-level fault diagnosis pairs of units are given the same job and results are compared. The result of such a comparison test can be 0 (match) or 1 (mismatch) and diagnosis is based on the collection of test results. Two such models have been studied, among others: the symmetric model of Chwa and Hakimi and the asymmetric model of Malek. In this paper, a novel approach is proposed for identifying faulty units, based on a well-known optimization procedure, as genetic algorithms, which have proven to be useful in various kinds of problems. Furthermore, a new problem-specific genetic mutation is presented and shown to be better than the standard one. A series of simulations was conducted to show the efficiency of the genetic-based approach.
Absract--In order to develop an effective detection method and tolerant strategy, a simulation model which can describe accurately the behavior of a PMSM drive with stator turn faults, is absolutely required. In this paper a dynamic model for permanent magnet synchronous motor with a stator inter-turn winding fault is derived in abc-variables. The model is used in vector control for a PMSM drive for both healthy and faulty conditions. As any method should be fully confirmed with a simulation model before being applied to a real system, the stator turn fault vector control strategy for PMSM drive is implemented in MATLAB/SIMULINK. Simulation results show the limit of validity of the proposed strategy and allow proposing a strategy for diagnosis but also for fault tolerant control development.
Absract--Direct torque control (DTC) is a powerful control method for interior permanent magnet synchronous motor (IPMSM), it provides a systematic solution in improving the operation characteristics of not only the motor but also the voltage source inverter(VSI). Stator winding faults due to short circuited turns are one of the most electrical faults in DTC-IPMSM drive system. The main problem with fault is connected with their destructive character and a tendency to a rapid transition. In early stage of this failure, the motor may still operate. This paper presents a direct torque control for IPMSM motor under stator winding faults, in order to ensure system service continuity. As a very fast diagnosis could terminate the damage range in the stator winding, a proposed method based on the current space pattern recognition will be investigated.Comparisons between simulation and experimental results will be performed to evaluate the effectiveness of the proposed approach.Keywords--Direct torque control, interior permanent magnet synchronous motor, stator winding faults, fault detection and diagnosis, pattern recognition.
-Stator turn faults in permanent magnet synchronous motors (PMSMs) are more dangerous than those in induction motors (IMs) because of the presence of spinning rotor magnets that can be turned off at will. Condition monitoring and fault detection and diagnosis of the PMSM have been receiving a growing amount of attention among scientists and engineers in the past few years. The aim of this study is to propose a new detection technique of stator winding faults in a three-phase PMSM. This technique is based on the image analysis and recognition of the stator current Concordia patterns, and will allow the identification of turn faults in the stator winding as well as its correspondent fault index severity. A test bench of a vector controlled PMSM motor behaviors under short circuited turn in two phases stator windings has been built. Some experimental results of the phase to phase short circuits have been performed for diagnosis purpose.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.