2017 IEEE Energy Conversion Congress and Exposition (ECCE) 2017
DOI: 10.1109/ecce.2017.8096912
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Temperature effects compensation control algorithm of IPM machines utilizing current pulse injection and online multi-parameter estimation for traction applications

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Cited by 3 publications
(1 citation statement)
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“…A peculiar implementation of RLS is adopted, with fast update of inductance estimates and lower-rate estimation of resistance and PM flux-linkage. An interesting solution to the same issues is proposed in [109], involving the Adaptive Linear Neuron Neural Network (ADALINE NN) algorithm. Since the method mainly targets traction applications, a procedure is set up so that current pulses are injected (for stator resistance and PM flux-linkage estimation) only during idle operation of the vehicle, while inductance values are continuously updated using fundamental-based estimation.…”
Section: A Parameters Estimationmentioning
confidence: 99%
“…A peculiar implementation of RLS is adopted, with fast update of inductance estimates and lower-rate estimation of resistance and PM flux-linkage. An interesting solution to the same issues is proposed in [109], involving the Adaptive Linear Neuron Neural Network (ADALINE NN) algorithm. Since the method mainly targets traction applications, a procedure is set up so that current pulses are injected (for stator resistance and PM flux-linkage estimation) only during idle operation of the vehicle, while inductance values are continuously updated using fundamental-based estimation.…”
Section: A Parameters Estimationmentioning
confidence: 99%