Rotor resistance and excitation inductance estimation of an induction motor using deep-Q-learning algorithm

Volume: 72, Pages: 67 - 79
Published: Jun 1, 2018
Abstract
To estimate the parameters of an induction motor in a data-based manner, this paper proposes a new offline method to estimate rotor resistance and excitation inductance based on the deep-Q-learning approach. In this method, parameter estimation can be facilitated without disturbing the model error or operating state. To achieve this goal, three important elements, namely observation, action, and reward, are appropriately designed. To improve the...
Paper Details
Title
Rotor resistance and excitation inductance estimation of an induction motor using deep-Q-learning algorithm
Published Date
Jun 1, 2018
Volume
72
Pages
67 - 79
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