| 引用本文: | 刘佳,张立炎,陈启宏,钱立,全书海.三相脉宽调制整流器的约束预测控制(英文)[J].控制理论与应用,2019,36(3):399~407.[点击复制] |
| LIU Jia,ZHANG Li-yan,CHEN Qi-hong,QIAN Li,QUAN Shu-hai.Constrained model predictive control for a three-phase pulse width modulation rectifier[J].Control Theory and Technology,2019,36(3):399~407.[点击复制] |
|
| 三相脉宽调制整流器的约束预测控制(英文) |
| Constrained model predictive control for a three-phase pulse width modulation rectifier |
| 摘要点击 2396 全文点击 807 投稿时间：2018-06-29 修订日期：2019-02-23 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2018.80481 |
| 2019,36(3):399-407 |
| 中文关键词 三相PWM整流器 约束预测控制 单位功率因数 FPGA |
| 英文关键词 Three-phase PWM rectifier constrained model predictive control unity power factor FPGA |
| 基金项目 国家自然科学基金 |
|
| 中文摘要 |
| 本文将基于并行神经网络优化的约束模型预测控制（MPC）应用于脉宽调制（PWM）整流器中，提高了电网的质量。在三相静止坐标系下，建立了三相PWM整流器的解耦数学模型，为了突破有限集和无约束条件下预测控制的局限性，提出了约束模型预测控制。神经网络优化算法用于求解模型预测控制的在线优化，提高了单步优化的速度。提出了一种在保证系统单位功率因数的前提下，当系统负载突然变化时，具有快速动态响应的稳定输出直流电压的方法。采用FPGA控制器实现并行计算，减少了预测控制算法的计算时间。最后，通过仿真和实验结果验证了该方法的有效性和可行性。 |
| 英文摘要 |
| In this paper, constrained model predictive control (MPC) based on parallel neural network optimization is proposed to apply to pulse width modulation (PWM) rectifier and improve power quality. A decoupled model of three-phase rectifier under three-phase stationary coordinates system is built. Then, the constrained MPC method is proposed. This method breaks the limits of predictive control with finite set and without constraints. Neural network optimization is used to solve online optimization of MPC and accelerate single step optimization. An approach is proposed to guarantee unity power factor, which also provides a regulated output dc-voltage with fast dynamics response against sudden changes in the load. A FPGA controller is employed to implement parallel calculation so as to reduce the computation time on predictive control algorithm. Simulation and experimental results demonstrate effectiveness and feasibility of the proposed method. |