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双三相永磁同步电机无差拍优化模型预测控制 被引量:1

Dead-beat Optimization Model Predictive Control of Dual Three-phase Permanent Magnet Synchronous Motor
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摘要 针对相移30°双三相永磁同步电机(DTP-PMSM)有限集模型预测电流控制计算时间长、电流谐波较大的问题,提出一种无差拍优化的模型预测控制策略。采用无差拍与模型预测递进的方法,考虑两者一拍延迟补偿的前提下,基于伏秒平衡原则,选取基波子空间中的大矢量和中矢量构建合成虚拟电压矢量作为矢量控制集,以简化预测模型和减少电流谐波。采用无差拍方法对期望电压位置进行估算,通过定位扇区将矢量个数由13个减少为3个,降低了系统计算负担。实验结果表明,与有限集模型预测算法相比,无差拍优化模型预测算法能够达到更优的动稳态性能,系统执行时间减少了16.5%,实现了降低计算量的目的,验证了所提算法的可行性。 Aiming at the problem of long calculation time and large current harmonics of the finite set model predictive current control of dual three-phase permanent magnet synchronous motor(DTP-PMSM) with a phase shift of 30°,a dead-beat optimization model predictive control strategy is proposed.Adopting the method of dead-beat and model prediction progressive,considering the one-beat delay compensation of the two,based on the principle of voltage-second balance,select the large vector and the middle vector in the fundamental wave subspace to construct the synthetic virtual voltage vector as the vector control set.To simplify the prediction model and reduce current harmonics.The dead-beat method is used to estimate the expected voltage position,and the number of vectors is reduced from 13 to3 by locating sectors,which reduces the computational burden of the system.The experimental results show that,compared with the finite set model prediction algorithm,the dead-beat optimization model prediction algorithm can achieve better dynamic and steady state performance,the system execution time is reduced by 16.5%,and the purpose of reducing the amount of calculation is achieved,and the feasibility of the proposed algorithm is verified.
作者 周奇勋 蔡紫薇 王沛 张玉峰 ZHOU Qi-xun;CAI Zi-wei;WANG Pei;ZHANG Yu-feng(Xi'an University of Science and Technology,Xi'an 710054,China)
机构地区 西安科技大学
出处 《电力电子技术》 CSCD 北大核心 2022年第11期20-23,共4页 Power Electronics
基金 国家自然科学基金(52177056) 陕西省重点研发计划(2021GY-129)。
关键词 永磁同步电机 模型预测控制 无差拍优化 电流谐波 permanent magnet synchronous motor model predictive control dead-beat optimization current harmonics
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