On-line iron loss resistance identification by a state observer for rotor-flux-oriented control of induction motor

Barrera, Pablo M. de la; Bossio, Guillermo R.; Solsona, J.; García, Guillermo

doi:10.1016/j.enconman.2008.03.021

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…1 shows the equivalent circuit in dq0 variables. This model is well known in the area of IM control [7]- [10] and its validity was presented in different papers [6] [13]. The model does not consider variables in the 0 axis because it is balanced and the neutral conductor is not connected.…”

Section: Im Electric Modelmentioning

confidence: 99%

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Multi-domain modeling of electric traction drives using Bond Graphs: Application to fault diagnosis

Silva

Barrera

Angelo

et al. 2009

2009 35th Annual Conference of IEEE Industrial Electronics

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In this work a dynamic model of the induction machine that considers the thermal behavior is developed using Bond Graphs (BG). The thermal model is based on considering the slots and teeth as independent elements with their own temperature. It corresponds to a real motor used in the tractive wheel of an electric vehicle. The model of the vehicle is also obtained in BG and is coupled to the motor. The complete model allows simulating the whole dynamics in a single model and the analysis of electrical/mechanical/thermal interaction is performed. Simulation results are intended to illustrate this interaction under faulty and healthy conditions in the stator winding. The impact on the mechanical and thermal domain produced by a fault in the electrical domain is also analyzed.

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Section: Im Electric Modelmentioning

confidence: 99%

“…Based on this model it is possible to derive new control schemes capable to avoid errors in the estimation of flux and torque (needed in the FOC) when IL appear [7]- [10]. Even more, since motors drive mechanical loads, the control performance analysis needs unavoidably an accurate model of the mechanical system coupled.…”

Section: Introductionmentioning

confidence: 99%

Multi-domain modeling of electric traction drives using Bond Graphs: Application to fault diagnosis

Silva

Barrera

Angelo

et al. 2009

2009 35th Annual Conference of IEEE Industrial Electronics

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“…An adaptive state observer [25] to detect and to diagnose SCF, based on the IM model showed in Section II, is presented in this section.…”

Section: Proposed Adaptive State Observer Considering Iron Lossmentioning

confidence: 99%

Stator core fault diagnosis for induction motors based on parameters adaptation

Barrera¹,

Bossio²,

García³

et al. 2009

2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives

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“…Based on this model it is possible to derive control schemes to avoid errors in the estimation of flux and torque (needed in the FOC) when IL appear [17]- [20].…”

Section: Im Electric Modelmentioning

confidence: 99%

Multi-Domain Model for Electric Traction Drives Using Bond Graphs

Silva¹,

Barrera²,

Angelo³

et al. 2011

Journal of Power Electronics

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In this work the Multi-Domain model of an electric vehicle is developed. The electric domain model consists on the traction drive and allows including faults associated with stator winding. The thermal model is based on a spatial discretization. It receives the power dissipated in the electric domain, it interacts with the environment and provides the temperature distribution in the induction motor. The mechanical model is a half vehicle model. Given that all models are obtained using the same approach (Bond Graph) their integration becomes straightforward. This complete model allows simulating the whole system dynamics and the analysis of electrical/mechanical/thermal interaction. First, experimental results are aimed to validate the proposed model. Then, simulation results illustrate the interaction between the different domains and highlight the capability of including faults.

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On-line iron loss resistance identification by a state observer for rotor-flux-oriented control of induction motor

Cited by 5 publications

References 16 publications

Multi-domain modeling of electric traction drives using Bond Graphs: Application to fault diagnosis

Multi-domain modeling of electric traction drives using Bond Graphs: Application to fault diagnosis

Stator core fault diagnosis for induction motors based on parameters adaptation

Multi-Domain Model for Electric Traction Drives Using Bond Graphs

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