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Online tuning of weighting factors based on sugeno fuzzy method in predictive torque control of four-switch three-phase inverter-fed IM

机译:基于sugeno模糊方法的加权因子在线调整在四开关三相逆变器调速电机预测转矩控制中的应用。

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Four-switch three-phase inverter-fed induction motor drive is very attractive because it can be utilized in fault-to-lerant control to solve the open/short-circuit fault of the six-switch three-phase inverter without redundant power switches. However, the balanced three-phase current collapses due to fluctuation of the dc-link capacitor. Allowing constraints included, the predictive torque control (PTC) can be utilized for high performance close-loop control of four-switch three-phase inverter-fed induction motor drive. However, the control performance of PTC depends on a two weighting factors obtained through a nontrival process and this process is inefficient to be used online. To avoid this process, a fuzzy online tunning of weighting factors based on Sugeno method is presented in this paper. This method can be used for online tuning of more than one weighting factors. A program in MATLAB has been developed to verify the effectiveness of the method.
机译:四开关三相逆变器馈电式感应电动机驱动器非常吸引人,因为它可用于容错控制中,以解决没有冗余电源开关的六开关三相逆变器的开路/短路故障。但是,平衡的三相电流由于直流母线电容器的波动而崩溃。考虑到限制因素,预测转矩控制(PTC)可用于四开关三相逆变器馈电感应电动机驱动器的高性能闭环控制。但是,PTC的控制性能取决于通过非平凡过程获得的两个加权因子,并且该过程无法在线高效使用。为避免这一过程,本文提出了一种基于Sugeno方法的加权因子模糊在线校正方法。此方法可用于在线调整多个加权因子。已经开发了MATLAB中的程序来验证该方法的有效性。

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