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Tight unmanned aerial vehicle (UAV) autonomous missions such as formation flight (FF) and aerial refueling (AR) require an active controller that works in conjunction with a precise sensor that is able to identify an in-front aircraft and to estimate its relative position and orientation. Among possible choices vision sensors are of interest because they are passive in nature and do not require the...
In this paper, a neural network based rotor position control and speed estimation method for permanent magnet synchronous motor (PMSM) is proposed. The proposed method has three recurrent neural networks. They are used for estimating stator current, rotor speed, and rotor position angle. Each of them is trained in two steps: off-line training for learning dynamic of PMSM and on-line training for realizing...
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