双有源桥-超级电容储能系统状态反馈模型预测控制策略

MPC with state feedback for dual active bridge-supercapacitor energy storage system

针对传统模型预测控制(MPC)中模型参数失配对控制性能的影响问题,文中提出一种基于双有源桥-超级电容储能系统具有状态反馈的混合模型预测控制(MPCFC)策略。根据双有源桥-超级电容储能系统的基本原理,采用单移相控制和状态空间平均法建立储能系统的数学模型。文中所提方法在传统模型预测控制的基础上增加了状态反馈校正环节,将前一时刻系统模型的电压预测值和实际采样值之间的误差量补偿到当前时刻预测函数模型的输出,从而提高了被控量的控制精度。最后运用Matlab/Simulink软件进行仿真实验。结果表明,当超级电容放电时,相对于传统预测控制系统,加入反馈校正后的预测控制策略具有较快的动态响应速度,在不同类型的模型参数失配条件下有最小的目标函数平均值,验证了文中控制策略的正确性和合理性。

In allusion to the influence of model parametric mismatch on the control performance in the traditional model predictive control(MPC),a hybrid model predictive control strategy with feedback correction(MPCFC) for the dual active bridge-supercapacitor(DAB-SC) energy storage system is proposed. According to the fundamental principle of the DAB-SC energy storage system, a single phase-shifting control and the state-space averaging method are used to establish the mathematical model of the energy storage system. Based on the traditional MPC,a state feedback correction link is added into the proposed method,which can compensate the error between the voltage prediction value and the actual sampling value of the system model at the previous time to the output of the prediction function model at the current time,thus improving the control accuracy of the controlled quantity. The simulation experiments were conducted with Matlab/Simulink software. The experimental results show that,in comparison with predictive control system,when the supercapacitor is discharged,the MPCFC has faster dynamic response speed,and has the minimum average value of the objective function under the condition of different types of model parameter mismatch,which verifies the correctness and rationality of the control strategy.