摘要
实现开关磁阻电机调速系统(SRD)的准确动态仿真是进行系统参数优化、控制策略研究的重要依据。本文在以实测开关磁阻电机(SRM)准确特性曲线为样本数据,并基于BP神经网络建立SRM非线性模型的基础上,构建了Matlab环境下SRD系统的整体动态仿真模型。通过仿真揭示了SRD系统的稳态、动态运行特性,实现了系统性能的准确分析,为设计SRD系统高性能控制提供了理论依据。经与实测电流、转速波形对比,验证了本文提出的SRD动态仿真方法的有效性。
Accurate simulation of switched reluctance driving （SRD） is the basis of optimizing parameters and research of control strategy. Using measured characteristic of switched reluctance motor （SRM）, a complete simulation model of SRD with a double closed-loop of speed and current control on Matlab is developed in this paper, which based on BP neural net nonlinear model. Transient and steady-state performance reveal that it is possible for designer to predict system performance. This provides potential approach for high performance control of SRD. Measured motor phase currents and speed verify the validity of this SRD simulation method.
出处
《电工技术学报》
EI
CSCD
北大核心
2006年第8期25-30,共6页
Transactions of China Electrotechnical Society
基金
国家863计划资助项目(2005AA501430)。
