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This study proposes an optimisation approach of high torque density with guaranteed anti‐short‐circuit performance for the dual redundant permanent magnet synchronous motor (PMSM) in an aerospace application. The 10‐pole/12‐slot dual redundant PMSM with concentrated single‐layer windings is firstly proposed, which can restrain the short‐circuit current by the slot design to increase the phase inductance. Since the anti‐short‐circuit design may result in the torque density degradation of the dual redundant PMSM, the influence of the slot parameters on the torque performance of the dual redundant PMSM is thoroughly investigated, including the electromagnetic torque, braking torque, and no‐load torque. Furthermore, the genetic algorithm‐based optimisation method is proposed to maximise the torque density of the dual redundant PMSM, while the anti‐short‐circuit performance can also be guaranteed. Simulation and experimental results are conducted to verify the effectiveness of the proposed optimisation method.

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A fault detection method applied to a redundant strapdown inertial navigation system, which usually undergoes rapid maneuvers, is developed in this paper. First, an improved four-points detection scheme that can significantly reduce the probability of false alarm of the generalized likelihood test(GLT) is present. Then, based on analyzing influences on the fault detection performance caused by the misalignment and scale fator errors and the random bias of a gyroscope, a parity vector error model is constructed and sequently the Kalman filtering scheme to compensate the parity vector error is designed. By example of a redundant measurement unit with four single-freedom-degree gyros, the fault detection method has been analyzed qualitatively and quantitatively through simulation tests. Simulation results demonstrate the favorable performance of the method.

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