基于线性自抗扰控制的Vienna整流器事件驱动型预测控制研究

doi:10.19595/j.cnki.1000-6753.tces.250345

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摘要针对传统有限矢量集模型预测控制（FCS-MPC）固有架构导致的相邻周期内可能产生几乎相同的控制动作、冗余迭代寻优繁琐的问题,为加速模型预测方法的收敛过程并避免冗余迭代寻优,该文设计一种面向三电平Vienna整流器的双闭环复合控制方案,其核心在于融合了事件驱动型模型预测控制（ET-MPC）与线性自抗扰（LADRC）外环。首先,根据Vienna状态空间模型建立了事件驱动表达方程,阐明了事件触发阈值对收敛速率和并网性能的作用机制,基于系统实时状态反馈,设定电流跟踪误差阈值作为触发条件,显著降低了计算负担和开关频率。其次,在深入探究LADRC与PI控制的等效原理上,揭示了两者参数设计的关联性规律,采用LADRC电压外环有效地抑制了直流电压超调,提升了系统的抗扰能力与鲁棒性。最后,通过仿真及实验,将所提策略与传统有限控制集模型预测控制（FCS-MPC）进行了多维度对比。结果表明,所提方法在保障并网性能的同时,可有效减少开关动作次数、抑制直流电压超调,并展现出优异的动态响应特性。

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关键词 ： Vienna整流器, 模型预测控制, 事件驱动, 线性自抗扰

Abstract：Finite control set-model predictive control (FCS-MPC) enables multi-objective optimization in complex nonlinear constrained systems, and has been extensively applied to the control of Vienna rectifiers. FCS-MPC is based on the discretized model of the three-level Vienna system and comprehensively evaluates all possible voltage vectors in each control cycle, selecting the optimal vector that minimizes the cost function. This strategy achieves multi-objective coordinated optimization and enhances control precision and flexibility. However, the traditional FCS-MPC is burdened by irregular switching states, redundant switch vector switching, and complex multi-objective optimization, increasing switching losses and computational complexity. To improve convergence speed and reduce redundant optimization, this paper proposes a dual-closed-loop composite control strategy that combines event-triggered model predictive control (ET-MPC) and linear active disturbance rejection control (LADRC) in the external loop for the three-level Vienna rectifier.
Firstly, by deriving analytical equations for the state space of the Vienna system and the event-trigger conditions, the influence of the trigger threshold on the system's convergence speed and static performance is clarified. The trigger conditions for tracking the current error threshold are set based on the system's real-time state feedback to reduce arithmetic complexity and the number of switching actions.
Secondly, through a thorough examination of the equivalence between LADRC and PI control, the parameter correlation law is analyzed, and the parameter equivalence expressions are derived. The LADRC is used to obtain the current signal rather than a traditional PI controller, thereby suppressing DC output voltage overshoot during dynamic response and improving the system's dynamic performance and robustness.
Finally, a Vienna circuit simulation model and an experimental platform are constructed. Then, the multi-dimensional comparison analysis with the traditional FCS-MPC is conducted. The following conclusions can be drawn.
(1) The LADRC-ETMPC utilizes an event-triggered mechanism to reduce the computational burden on the system. As the trigger threshold increases, the number of switching actions decreases. The equivalent switching frequency is reduced by 42% while maintaining grid-connected current output performance, thereby reducing switching losses.
(2) The LADRC-ETMPC utilizes LADRC to replace PI control and significantly reduces DC output voltage overshoot during dynamics. The overshoot is reduced by 52%.
(3) The proposed LADRC-MPC method can effectively balance the fluctuation of neutral point potential. Compared with the FCS-MPC, the fluctuation in neutral-point potential on the DC side is reduced by 71.8%.

Key words： Vienna rectifier model predictive control event-triggered linear active disturbance rejection

收稿日期: 2025-03-04

PACS:

TM461

基金资助:陕西省教育厅科学研究技术服务地方专项-产业化培育项目（24JC069）、国家自然科学基金项目（62573341）和现代电力系统仿真控制与绿色电能新技术教育部重点实验室项目（MPSS2024-03）资助

通讯作者: 党超亮男,1988年生,博士后,讲师,研究方向新能源与微电网、高效电能变换智能控制及电动汽车充放电技术等。E-mail: dangclkk@163.com

作者简介: 蒋泽豪男,2000年生,硕士研究生,研究方向为新能源发电与智能微电网、高效电能变换预测控制与智能控制等。E-mail: jiangzhou0813@163.com

引用本文:

党超亮, 蒋泽豪, 宋卫章, 韩思鹏, 同向前, 刘丁, 辛业春. 基于线性自抗扰控制的Vienna整流器事件驱动型预测控制研究[J]. 电工技术学报, 2026, 41(4): 1369-1380. Dang Chaoliang, Jiang Zehao, Song Weizhang, Han Sipeng, Tong Xiangqian, Liu Ding, Xin Yechun. Research on the Event-Triggered Predictive Control of Vienna Rectifier Based on Linear Active Disturbance Rejection Control. Transactions of China Electrotechnical Society, 2026, 41(4): 1369-1380.

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