摘要
在异步电机的矢量控制损耗模型的效率优化中,最优磁通的求解是关键环节,针对传统理论上解析式算法的不足,提出一种智能优化方法——基于神经网络的预测最优磁通的算法。仿真试验表明该方法建模便捷、运算快,得到了较好的优化磁通结果,是提高矢量控制系统效率的一种新方法。
In the loss model efficiency optimization of asynchronous motor drive with vector control, the estimation of optimum flux is a crucial part. A intelligent optimization method is presented, artificial neutral network method estimates the optimum flux because traditional analytic expression method theoretically has deficiency. Simlation results of the proposed approach show a good optimization and a new a method of improving the efficiency of vector control conveniently and quickly.
出处
《电机与控制应用》
北大核心
2009年第9期22-25,共4页
Electric machines & control application
基金
上海市经委上海市引进技术的吸收与创新高效节能电机及智能电机节能系统的研究(07XI-034)
关键词
异步电机矢量控制
损耗模型控制器
磁通优化
asynchronous motor vector control
loss model controller
flux optimization
