首页|Researchers at Anhui University Release New Data on Robotics (Multi-objective Optimization Design of External Rotor Permanent Magnet Synchronous Motor for Robot Arm)
Researchers at Anhui University Release New Data on Robotics (Multi-objective Optimization Design of External Rotor Permanent Magnet Synchronous Motor for Robot Arm)
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NETL
NSTL
Korean Soc Mechanical Engineers
Investigators publish new report on Robotics. According to news reporting originating from Anhui, People's Republic of China, by NewsRx correspondents, research stated, "On the basis of the skewed pole model, this study uses the elite opposition-based golden-sine whale optimization algorithm to carry out the multi-objective optimization design of the frameless external rotor permanent magnet synchronous motor of the robot arm and achieve high torque density and low torque ripple. First, the key parameters affecting the torque ripple and torque density of the motor are analyzed." Financial supporters for this research include Natural Science Foundation of Anhui Province, National Natural Science Foundation of China (NSFC), Key project of National Natural Science funds. Our news editors obtained a quote from the research from Anhui University, "Second, the angle of the oblique pole is studied to reduce torque ripple. On the basis of the oblique pole model of the motor, the sample library is established according to the key parameters, the K-nearest neighbor algorithm is introduced for regression fitting, and the high-precision and fast calculation model of the motor is established. Third, the elite opposition-based golden-sine whale optimization algorithm (EGWOA) is introduced to optimize the key parameters of the fitting model with the objective of reducing torque ripple and increasing torque density, and the non dominated sorting and crowding degree calculation methods are used to improve it." According to the news editors, the research concluded: "Finally, a prototype is made to prove the effectiveness of the optimized design." This research has been peer-reviewed.
AnhuiPeople's Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsAnhui University
NETL
NSTL
Korean Soc Mechanical Engineers
