基于反馈线性化的无刷双馈电机模型预测控制策略

提出一种无刷双馈电机(BDFM)基于反馈线性化的模型预测控制策略。基于BDFM状态空间方程,在控制电机磁场定向同步坐标系下,采用输入输出反馈线性化将BDFM转化为线性系统并证明系统稳定性,以此为基础计算系统预测值,根据BDFM离散预测模型,设计模型预测控制器,实现电磁转矩和控制侧电机磁链的独立控制。仿真试验结果证明该控制器具有优良的控制性能,能够实现平滑控制和系统解耦。

MODEL PREDICTIVE CONTROL STRATEGY BASED ON FEEDBACK LINEARIZATION FOR BRUSHLESS DOUBLY FED MACHINE

This paper proposes a model predictive controller based on feedback linearization for brushless doubly-fed machine BDFM. Based on the BDFM state space equation,the complex system is transformed into a linear one utilizing input-output feedback linearization in the synchronous coordinate oriented by the control motor flux. the stability of the linearized system is verified. On the basis of this,the predictive values are calculated. Based on the BDFM discrete prediction model,a model predictive controller is designed to achieve independent control of electromagnetic torque and control motor flux. Simulation results are presented to validate excellent control performance,and also the decoupling ability and smooth control,of the proposed controller.