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首页> 外文期刊>Energy Conversion, IEEE Transactions on >Fault-Tolerant Control Using the GA Optimization Considering the Reluctance Torque of a Five-Phase Flux Switching Machine
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Fault-Tolerant Control Using the GA Optimization Considering the Reluctance Torque of a Five-Phase Flux Switching Machine

机译：考虑五相磁通开关电机磁阻转矩的遗传算法优化容错控制

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摘要

This paper deals with the fault tolerance of a five-phase flux switching machine. Short-circuit currents calculation considering inductances variation is developed. Machine behavior (torque quality, copper losses, and homopolar current) under a single short-circuit phase fault, two consecutive and nonconsecutive phases short-circuited, is simulated with a two-dimensional finite elements (2-D FE) model and validated experimentally. Then, a new method is developed to improve its performances in faulty mode, by reconfiguring reference currents. In fact, an accurate torque model is established and then used in a genetic algorithm to optimize reference currents in faulty mode. In this approach of reference currents computation, the used algorithm has multiobjectives and multiconstraints, thereby allowing choosing the appropriate fault-tolerant current solution according to our application. The torque model is considered to be more accurate and closer to the 2-D FE results in both healthy and faulty modes. Then, a comparison of machine performances in healthy, degraded, and reconfigured modes is presented. Experimental results corroborate the analysis.
机译：本文讨论了五相磁通切换机的容错能力。开发了考虑电感变化的短路电流计算。使用二维有限元（2-D FE）模型对单个短路相故障，两个连续相和非连续相都短路的情况下的机器行为（转矩质量，铜损和同极性电流）进行了仿真，并进行了实验验证。然后，开发了一种通过重新配置参考电流来改善其在故障模式下的性能的新方法。实际上，建立了精确的扭矩模型，然后将其用于遗传算法中，以在故障模式下优化参考电流。在这种参考电流计算方法中，所使用的算法具有多目标和多约束条件，从而可以根据我们的应用选择合适的容错电流解决方案。在健康模式和故障模式下，扭矩模型都被认为是更准确且更接近二维有限元结果。然后，对健康，降级和重新配置模式下的计算机性能进行了比较。实验结果证实了这一分析。

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