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AssigneesXiangtan University, Foshan Green Intelligent Manufacturing Research Institute of Xiangtan University, Foshan Shunde Lepuda Motor Co., Ltd
InventorsSiqi Peng, Weijun Li, Dan Guo, Hongyu Peng, Hui Li, Pingan Tan
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An efficiency optimization control method and system for permanent magnet synchronous motor are provided, and the method includes: step 1: obtaining an approximate optimal direct axis (d-axis) current of a permanent magnet synchronous motor by using a loss model algorithm; step 2: performing, by using the approximate optimal d-axis current as an initial value and using a deep reinforcement learning algorithm, an optimizing process on the approximate optimal d-axis current to construct an optimal deep reinforcement learning model; and step 3: inputting currently acquired state data of the permanent magnet synchronous motor into the optimal deep reinforcement learning model to obtain a control parameter value corresponding to an optimal efficiency of the permanent magnet synchronous motor, and controlling the permanent magnet synchronous motor based on the control parameter value. Therefore, real-time target control for the permanent magnet synchronous motor is achieved.
An efficiency optimization control method for permanent magnet synchronous motor, comprising:
An efficiency optimization control system for permanent magnet synchronous motor, comprising a memory and a processor, wherein the memory is configured to store a computer program, and the computer program is configured to be executed by the:
Dependencies are inferred from the claim text.