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首页> 外文期刊>Power Electronics, IET >Particle swarm optimisation in efficiency improvement of vector controlled surface mounted permanent magnet synchronous motor drive
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Particle swarm optimisation in efficiency improvement of vector controlled surface mounted permanent magnet synchronous motor drive

机译：粒子群算法优化矢量控制表面安装永磁同步电动机驱动效率

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摘要

Application of particle swarm optimisation (PSO) in efficiency optimisation of vector controlled surface mounted permanent magnet synchronous motor (PMSM) drive is presented in this study. Analytical expressions for the controllable electrical loss in PMSM are derived and optimised through control of direct axis (-axis) stator current, according to the desired speed of operation and load torque. The optimal value of -axis current has been obtained through analytical method as well as through PSO. The motor efficiency is maximised by using the optimal -axis current to minimise the air gap flux, resulting in reduction of the core losses, especially at light load conditions. The robustness of the efficiency optimisation algorithms are demonstrated through parametric sensitivity analysis. Implementations of efficiency optimisation algorithms are carried out in Matlab and the performance of PMSM drive is described under steady state as well as transient operating conditions. The effect of efficiency optimisation algorithms in different region of operation of PMSM such as constant speed-variable load torque and constant torque–variable speed modes are described.
机译：提出了粒子群优化算法在矢量控制表面安装永磁同步电动机驱动器效率优化中的应用。根据所需的运行速度和负载转矩，通过控制直轴（轴）定子电流，推导并优化了PMSM中可控电损耗的解析表达式。通过分析方法以及通过PSO获得了轴电流的最佳值。通过使用最佳轴电流来最小化气隙磁通，可以最大程度地提高电机效率，从而降低铁芯损耗，尤其是在轻载条件下。通过参数敏感性分析证明了效率优化算法的鲁棒性。在Matlab中执行了效率优化算法的实现，并描述了稳态和瞬态运行条件下PMSM驱动器的性能。描述了效率优化算法在PMSM的不同运行区域中的作用，例如恒定速度可变负载转矩和恒定转矩可变速度模式。

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