Maximum-Force-per-Ampere Strategy of Current Distribution for Efficiency Improvement in Planar Switched Reluctance Motors
Maximum-Force-per-Ampere Strategy of Current Distribution for Efficiency Improvement in Planar Switched Reluctance Motors
复制标题
用于提高平面开关磁阻电机效率的电流分布的最大每安力策略
DOI：
10.1109/tie.2015.2492948
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发表时间：
2016-03
影响因子：
7.7
通讯作者：
Qing-Quan Qian
中科院分区：
文献类型：
--
作者：
Chao Wu;Ji-An Duan;Norbert C. Cheung;Qing-Quan Qian
提出了一种新的最大力安培电流分配策略，以提高效率的平面开关磁阻电机（PSRM）的电流分布。这种策略是平面电机的第一种，它用于以三相电流的平方和最小来产生所需的推力。为了制定这种策略，首先开发了一个具有时变参数的约束优化问题。然后，问题转化为一个无约束问题的障碍函数。此外，还引入了一种自适应遗传算法来求解无约束优化问题，以确定最优电流位置。通过仿真和实验对所提出的控制策略和传统控制策略进行了对比研究，并对所提出的控制策略进行了平面轨迹跟踪实验。最后，验证了所提策略的有效性.
This paper proposes a novel maximum-force-per-ampere strategy for the current distribution of planar switched reluctance motors (PSRMs) for efficiency improvement. This strategy is the first of its kind for planar motors, and it is used to generate the desired thrust force with the minimum sum of squares of the three-phase current. To formulate this strategy, a constrained optimization problem with time-varying parameters is first developed. Then, the problem is transformed into an unconstrained problem with a barrier function. Additionally, a self-designed adaptive genetic algorithm is introduced to solve the unconstrained optimization problem for locating the optimal currents. Comparative studies of the proposed and conventional strategies for a PSRM system are carried out via simulation and experiment, and planar trajectory tracking for the system with the proposed strategy is experimentally performed. The validity of the proposed strategy is also verified.
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影响因子：
2.1
作者：
J. Jansen;J. Smeets;T. Overboom;J. Rovers;E. Lomonova
通讯作者：
J. Jansen;J. Smeets;T. Overboom;J. Rovers;E. Lomonova
影响因子：
6.7
作者：
M. Preindl;S. Bolognani
通讯作者：
M. Preindl;S. Bolognani
DOI：
10.1109/ias.1999.800006
发表时间：
1999-10
期刊：
Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370)
影响因子：
--
作者：
H. Bae;Byeong-Seok Lee;P. Vijayraghavan;R. Krishnan
通讯作者：
H. Bae;Byeong-Seok Lee;P. Vijayraghavan;R. Krishnan
影响因子：
6.7
作者：
Tianfu Sun;Jiabin Wang;Xiao Chen
通讯作者：
Tianfu Sun;Jiabin Wang;Xiao Chen
DOI：
10.1109/icelmach.2012.6350228
发表时间：
2012-11
期刊：
2012 XXth International Conference on Electrical Machines
影响因子：
--
作者：
M. Dems;K. Komeza
通讯作者：
M. Dems;K. Komeza