Since only one inverter voltage vector is applied during each duty cycle, traditional model predictive direct power control(MPDPC) for grid-connected inverters(GCIs) results in serious harmonics in current and power. ...Since only one inverter voltage vector is applied during each duty cycle, traditional model predictive direct power control(MPDPC) for grid-connected inverters(GCIs) results in serious harmonics in current and power. Moreover, a high sampling frequency is needed to ensure satisfactory steady-state performance, which is contradictory to its long execution time due to the iterative prediction calculations. To solve these problems, a novel dead-beat MPDPC strategy is proposed, using two active inverter voltage vectors and one zero inverter voltage vector during each duty cycle. Adoption of three inverter vectors ensures a constant switching frequency. Thus, smooth steady-state performance of both current and power can be obtained. Unlike the traditional three-vector based MPDPC strategy, the proposed three vectors are selected based on the power errors rather than the sector where the grid voltage vector is located, which ensures that the duration times of the selected vectors are positive all the time. Iterative calculations of the cost function in traditional predictive control are also removed, which makes the proposed strategy easy to implement on digital signal processors(DSPs) for industrial applications. Results of experiments based on a 1 kW inverter setup validate the feasibility of the proposed three-vector based dead-beat MPDPC strategy.展开更多
永磁同步电机的模型预测控制是目前电机控制技术的研究热点之一,传统的单矢量模型预测电流控制(Model Predictive Current Control,MPCC)方法每个周期只有1个电压矢量作用,因此稳态性能较差,而且MPCC的控制性能受电机参数的影响较大。...永磁同步电机的模型预测控制是目前电机控制技术的研究热点之一,传统的单矢量模型预测电流控制(Model Predictive Current Control,MPCC)方法每个周期只有1个电压矢量作用,因此稳态性能较差,而且MPCC的控制性能受电机参数的影响较大。针对上述问题,提出了一种改进方法,即通过改进扩张状态观测器增加MPCC对电机参数的鲁棒性,结合一种新的三矢量模型预测控制方法来改善MPCC特性。仿真结果验证了本文所提方法的有效性。展开更多
基金supported by the National Natural Science Foundation of China(No.51622706)the Fundamental Research Funds for the Central Universities,China(No.2017XZZX002-17)
文摘Since only one inverter voltage vector is applied during each duty cycle, traditional model predictive direct power control(MPDPC) for grid-connected inverters(GCIs) results in serious harmonics in current and power. Moreover, a high sampling frequency is needed to ensure satisfactory steady-state performance, which is contradictory to its long execution time due to the iterative prediction calculations. To solve these problems, a novel dead-beat MPDPC strategy is proposed, using two active inverter voltage vectors and one zero inverter voltage vector during each duty cycle. Adoption of three inverter vectors ensures a constant switching frequency. Thus, smooth steady-state performance of both current and power can be obtained. Unlike the traditional three-vector based MPDPC strategy, the proposed three vectors are selected based on the power errors rather than the sector where the grid voltage vector is located, which ensures that the duration times of the selected vectors are positive all the time. Iterative calculations of the cost function in traditional predictive control are also removed, which makes the proposed strategy easy to implement on digital signal processors(DSPs) for industrial applications. Results of experiments based on a 1 kW inverter setup validate the feasibility of the proposed three-vector based dead-beat MPDPC strategy.
文摘永磁同步电机的模型预测控制是目前电机控制技术的研究热点之一,传统的单矢量模型预测电流控制(Model Predictive Current Control,MPCC)方法每个周期只有1个电压矢量作用,因此稳态性能较差,而且MPCC的控制性能受电机参数的影响较大。针对上述问题,提出了一种改进方法,即通过改进扩张状态观测器增加MPCC对电机参数的鲁棒性,结合一种新的三矢量模型预测控制方法来改善MPCC特性。仿真结果验证了本文所提方法的有效性。
