Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 72, Issue -, Pages 67-79Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2018.03.018
Keywords
Deep Q-leaming; Induction motor parameter estimation; Q-sensitivity
Ask authors/readers for more resources
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-leaming 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 robustness and accelerate the convergence, a new concept, denoted as Q-sensitivity, is proposed and investigated in detail. The experimental results show that a high-Q-sensitivity design can allow the proposed method to obtain a fast and torque-maximized estimation. Results from the comparative studies confirm the accuracy and robustness of the proposed method.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available