三电平并网逆变器的改进型有限集模型预测控制

传统的基于Lyapunov定律的有限集模型预测控制（FCSMPC）在参数不匹配时,会导致其控制方法的鲁棒性较差,严重时甚至会导致系统不稳定。针对上述问题,该文从理论上详细分析了传统的基于Lyapunov定律的有限集模型预测控制的参数鲁棒性问题,并通过引入Luenberger观测器来估算由参数不匹配引起的干扰,然后将干扰补偿到基于Lyapunov定律有限集模型预测控制中,提高了控制系统的鲁棒性和稳定性。此外,该文还考虑了有限集模型预测控制中的延迟补偿问题以及低开关频率问题。利用DSP-TMS320f28377软件在三电平并网逆变器实验平台上实现了所提出的控制方案,实验证实了所提出方法的有效性。

IMPROVED FINITE CONTROL SET MODEL PREDICTIVE CONTROL OF THREE-LEVEL GRID-CONNECTED INVERTER

The traditional finite control set model predictive control（FCSMPC） based on Lyapunov law will lead to poor robustness of its control method when the parameters are not matched, and even lead to system instability in severe cases. In response to the above problems, this paper theoretically analyzes the parameter robustness of the traditional finite control set model predictive control based on Lyapunov law in detail, and introduces the Luenberger observer to estimate the interference caused by the parameter mismatch. And then the interference is compensated to the finite control set model predictive control based on Lyapunov law, the robustness and stability of the control system are improved. In addition, this paper also considers the delay compensation problem and the low switching frequency problem in the finite control set model predictive control. The proposed control scheme is implemented on a three-level grid-connected inverter, experimental platform by using DSP TMS320f28377 software and the effectiveness of the proposed method is verified by experiments.