基于响应面算法的六相电机转矩优化研究

为了优化一台改进型不等齿结构的18槽10极内嵌式六相永磁同步电机,进一步减小齿槽转矩,提高电机输出平均转矩和降低转矩波动,提出基于响应面算法的六相电机转矩优化算法。选择对电机性能影响较大的极弧系数、齿槽宽度以及永磁体厚度进行多目标优化,构造实验样本数据组。通过有限元仿真分析,利用响应面模型函数进行拟合回归,然后以电机最小齿槽转矩、最大输出平均转矩为优化目标,进行响应优化得到最优参数解。结果表明,基于响应面算法的优化方法能有效减小齿槽转矩,提高电机输出平均转矩和降低转矩波动,验证了响应面优化方法的有效性和有限元分析的正确性。

滑行工况下混合动力系统的再生制动

研究了并联式混合动力系统的电机模拟发动机倒拖再生制动.当整车处于滑行工况时,离合器断开,处在发电模式的电机提供负转矩来模拟发动机倒拖转矩对蓄电池充电,从而回收原本由发动机倒拖制动消耗的整车滑行能量.考虑电机发电效率和蓄电池充电效率,提出以进入蓄电池的实际电能最大化为目标的电机转矩优化控制算法,并确定了电机最优化转矩和机械式自动变速箱最优化档位控制规律.仿真结果表明:运用电机转矩优化控制算法的电机模拟发动机倒拖再生制动,蓄电池电荷状态(SOC)的增幅明显提高.

Genetic algorithm and particle swarm optimization tuned fuzzy PID controller on direct torque control of dual star induction motor

This study presents analysis, control and comparison of three hybrid approaches for the direct torque control (DTC) of the dual star induction motor (DSIM) drive. Its objective consists of combining three different heuristic optimization techniques including PID-PSO, Fuzzy-PSO and GA-PSO to improve the DSIM speed controlled loop behavior. The GA and PSO algorithms are developed and implemented into MATLAB. As a result, fuzzy-PSO is the most appropriate scheme. The main performance of fuzzy-PSO is reducing high torque ripples, improving rise time and avoiding disturbances that affect the drive performance.