Hierarchy of Motor Control
DC Generator
Passive Filters
DC Battery
Active Filters
Trial and Error and Algorithm
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Tong Jinwu1, Zha Lifan2, Lu Xinyun2
1Engineering Training Center, School of Applied Technology, Nanjing Institute of Technology, Nanjing 211167, China.
This study introduces an Adaptive Extended Kalman Filter (AEKF) to improve state estimation for sensorless Brushless DC (BLDC) motors. The AEKF enhances accuracy and robustness during dynamic conditions, outperforming the traditional Extended Kalman Filter (EKF).
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