级联多电平有源滤波器有限状态-模型预测控制方法研究

项目名称： 级联多电平有源滤波器有限状态-模型预测控制方法研究

项目编号： No.51207086

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 电气科学与工程学科

项目作者： 杨兴武

作者单位： 上海电力学院

项目金额： 25万元

中文摘要： 有限状态-模型预测控制(Finite-states model predictive control，FS-MPC)在级联多电平有源滤波器中应用，存在开关频率不固定、滤波电感参数漂移严重影响控制性能、指标函数寻优计算量大等不足。本课题结合模型预测控制在电力电子领域的最新进展，对上述问题进行系统研究，首先，对FS-MPC的脉冲触发方式进行研究，从对指标函数增加约束条件和改进调制方法入手，探索使开关频率恒定的控制方法；其次提出滤波电感参数的在线估算方法，进而对预测模型进行在线修正，以显著增强FS-MPC的鲁棒性；最后，提出基于部分开关组合的寻优控制方法，以简化级联有源滤波器FS-MPC的寻优计算，为其数字化实现奠定基础。根据上述理论分析，在基于DSP和FPGA的试验平台上，对级联多电平有源滤波器改进FS-MPC方法进行验证，为FS-MPC在级联拓扑的其他高性能系统中应用提供理论依据和技术支持。

中文关键词： 模型预测控制；级联型逆变器；寻优计算；电容电压平衡；开关频率

英文摘要： Finite-states model predictive control (FS-MPC) has some disadvantages in the multi-level cascaded active power filter applications, such as the switching frequency is not fixed, the value of reactor inductance shift impact on control performance, there exists large amount of calculation in optimization progress. In the subject, these issues will be studied combination the latest progress on model predictive control in power electronics. Firstly, constant switching frequency control method to be studied by adding an additional term to the cost function or using a new modulation algorithms; Secondly, filter inductance online estimation methods is proposed, on-line modifying predictive model to enhance the robustness of FS-MPC; Finally, optimization control method based on parts switching combination is proposed to reduce the optimization calculation of FS-MPC significantly, which lay a foundation for digital realization of FS-MPC for cascaded active power filter. According to theoretical analysis, on DSP and FPGA platform to explore the implementation of FS-MPC for active power filter based on cascaded multi-level inverter,aiming to provide technical support and scientific warrant for FS-MPC applications in other high-performance systems.

英文关键词： model predictive control；multi-level cascaded inverter；optimization calculation；capacitor voltage balancing control；switching frequency