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- W2992205942 abstract "There are some problems accompanied by detecting rotor parameters of the traditional method on the permanent magnet linear synchronous motor (PMLSM), such as inaccurate detection and poor anti-interference ability. Based on this, this paper proposes a speed closed-loop control strategy based on PID neural network (PIDNN) without speed sensor. The algorithm obtains the error between real current and the given current of the q-axis by calculating the observation angle and the actual angle. The algorithm obtains the error between the given current and the feedback value of the q-axis, and uses the gradient descent algorithm to update the parameters and to obtain the fitted electrical angle. When the current error converges to zero, the output is the velocity of the mover. The simulation and experimental results show that the algorithm can track the speed very well, which reduces the cost and improves the reliability of the system." @default.
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- W2992205942 date "2019-08-01" @default.
- W2992205942 modified "2023-10-16" @default.
- W2992205942 title "Research on Speed Sensorless Control of Permanent Magnet Linear Synchronous Motor Based on PID Neural Network" @default.
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- W2992205942 doi "https://doi.org/10.1109/icems.2019.8921987" @default.
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