摘要
为克服无刷双馈发电机(BDFG)常规模型参考自适应无速度传感器控制的不足,增加控制器的通用性,提出模糊PI控制策略,在线调整PI参数,优化速度的估计。基于Matlab/Simulink建立小信号仿真模型,仿真结果显示该文提出的模糊PI自适应速度观测器在静态情况下能精确辨识电机速度,在动态时有较好的快速性,系统有较强的鲁棒性。在实验室BDFG平台上进行对比实验,仿真和实验均验证了模糊PI控制方案的优越性。
In order to overcome the insufficient of the speed sensorless control of convention model reference adaptive system of brushless doubly-fed generator (BDFG) and increase the universality of the controller, the fuzzy PI control strategy was presented, which could adjust the PI parameters on-line and optimize the estimate of the speed. A simulation model of small signal was established based on Matlab/Simulink. The simulation results show that the fuzzy PI adaptive speed observer can precisely recognize the speed of engine in stationary condition and have rapid estimation in dynamical circumstances. The system has strong robustness. The experiment is run in the BDFG platform, both simulation and experiment verify the advantage of the fuzzy PI control strategy.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2016年第2期282-289,共8页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(51377040)