LCL电压型整流器模型预测优化控制

提出了一种基于LCL滤波的电压型整流器VSR(Voltage Source Rectifier)有限控制集模型预测优化控制策略。传统的LCL整流器模型预测电流控制需要附加有源阻尼算法(MPC-AD)来消除LCL滤波器引起的谐振问题,此时会大大增加系统的计算负担且控制性能有待提升。为此利用模型预测控制中多变量控制的特性,通过构建单个代价函数同时控制网侧电流矢量、滤波电容电压矢量以及整流器侧电流矢量(MPC-i₁i₂u_c),无需状态变量反馈有源阻尼,然后通过所构造的代价函数J来选取下一时刻最优开关状态作用于系统。为验证所提出方法的可行性,进行仿真实验并搭建测试样机,通过与传统的MPC-AD控制方法进行比较,验证了所提出优化控制策略的可行性与优越性。

Model Predictive Optimal Control of LCL Voltage Source Rectifier

A finite control set model predictive optimisation control strategy for LCL-filtered voltage source rectifiers is proposed. The conventional LCL rectifier model predictive current control requires an additional active damping algorithm (MPC-AD) to eliminate the resonance problem caused by the LCL filter, which greatly increases the computational burden of the system, and the control performance needs to be improved. To this end, the multivariable control feature of model predictive control is exploited by constructing a single cost function to simultaneously control the grid side current vector, the filter capacitor voltage vector and the rectifier side current vector (MPC-i₁i₂u_c), which without the need for active damping of the state variable feedback, and then using the constructed cost function J to select the optimal switching state to be applied to the system at the next moment. In order to verify the feasibility of the proposed method, a simulation experiment is carried out and a test prototype is built. Comparing with the MPC-AD strategy to verify the superiority and effectiveness of the proposed method.