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| Research on the Event-Triggered Predictive Control of Vienna Rectifier Based on Linear Active Disturbance Rejection Control |
| Dang Chaoliang1,2, Jiang Zehao1, Song Weizhang1, Han Sipeng1, Tong Xiangqian1, Liu Ding2, Xin Yechun3 |
1. School of Electrical Engineering Xi’an University of Technology Xi’an 710054 China;
2. School of Automation and Information Engineering Xi’an University of Technology Xi’an 710054 China;
3. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 China |
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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%.
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Received: 04 March 2025
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2026, Vol. 41 
