Abstract：Under the traditional control strategy, the two-stage power conversion system (PCS) will produce a large overshoot and the response time from the jump to the steady-state operation is relatively long when the power jumps and the DC bus voltage fluctuates. At the same time, there is coupling effect between the active power and reactive power of the converter. To solve these transient problems, a sliding mode active disturbance rejection control strategy based on finite time convergence observer is designed in this paper. The control strategy is applied to the power control of the rear DC-AC converter and the double-loop control of the DC-DC converter to improve the transient performance of the system. The basis of this control strategy is active disturbance rejection control (ADRC), which equates all uncertainties such as unknown disturbance and unmodeled part of the system to total disturbance, estimates the total disturbance by observer and compensates by feedforward channel, and then rapidly converges the feedback error to zero by sliding mode control. This control combines the advantages of ADRC independent of the precise mathematical model of the control object and fast convergence of the sliding mode control, which reduces the complexity of the controller and improves the transient response of the controller. In order to facilitate the design of the controller during the design of the control strategy, the state equation of the two-stage power conversion system in the abc coordinate system is converted to the state equation in the dq coordinate system. According to the mathematical model of the dq coordinate system, it can be seen that there are coupling effects between the dq axis variables after the converter's coordinate transformation. In order to suppress the coupling phenomenon, the coupling part of the converter state equation is classified into total disturbance, and the equivalent total disturbance is estimated quickly and accurately by designing a finite time convergence observer, and the disturbance estimate is improved by feedforward compensation. Secondly, the linear feedback link in ADRC is replaced by a nonlinear sliding mode control with faster response and insensitive to parameters, which improves the error convergence speed and the disturbance immunity performance of the controller. In sliding mode feedback control, the integral sliding mode is used to reduce the steady-state error in the control process, and the sliding mode reaching law is composed of exponential reaching law and power reaching law, which ensures the fast reaching ability when the control orbit is far from the equilibrium point, and also has the ability to reduce chattering when the control orbit is near the equilibrium point. At the same time, in order to provide stable bus voltage on DC side, the proposed control is applied to double loop control of DC side voltage and current according to the state equation of DC-DC converter to improve the transient stability of DC bus voltage fluctuation. Then the stability and finite-time convergence of the proposed control strategy are proved according to Lyapunov stability theory, and the convergence time of the sliding mode feedback control law is calculated. Finally, the circuit model of the two-stage power conversion system is built in Matlab/Simulink simulation software and hardware in the loop (HIL) experiment, and the proposed control is applied to carry out simulation and experimental verification, and the control is compared with PI control and unimproved ADRC. The transient performance of three different control strategies in terms of power change, coupling effect, harmonic content and DC bus voltage fluctuation is compared. The simulation and experimental results show that compared with the other two control methods, the proposed control can significantly suppress the coupling effect, reduce the harmonic content of grid-connected current, and improve the transient performance when the power changes and the DC bus voltage fluctuates.
黄红杰, 皇金锋, 周杰. 基于有限时间观测器的两级式储能变流器改进滑模自抗扰控制[J]. 电工技术学报, 2025, 40(1): 178-189.
Huang Hongjie, Huang Jinfeng, Zhou Jie. Improved Sliding Mode Active Disturbance Rejection Control for Two-Stage Power Conversion System Based on Finite Time Observer. Transactions of China Electrotechnical Society, 2025, 40(1): 178-189.
[1] 张尧翔, 刘文颖, 庞清仑, 等. 基于主从博弈的跨境新型电力系统双边交易决策方法[J]. 电力系统自动化, 2023, 47(4): 19-26. Zhang Yaoxiang, Liu Wenying, Pang Qinglun, et al.Bilateral transaction decision-making method for cross-border new power system based on stackelberg game[J]. Automation of Electric Power Systems, 2023, 47(4): 19-26. [2] Zarrilli D, Giannitrapani A, Paoletti S, et al.Energy storage operation for voltage control in distribution networks: a receding horizon approach[J]. IEEE Transactions on Control Systems Technology, 2018, 26(2): 599-609. [3] 陈光宇, 袁文辉, 徐晓春, 等. 基于残差图卷积深度网络的电网无功储备需求快速计算方法[J]. 电工技术学报, 2023, 38(17): 4683-4700. Chen Guangyu, Yuan Wenhui, Xu Xiaochun, et al.Fast calculation method for grid reactive power reserve demand based on residual graph convolutional deep network[J]. Transactions of China Electrote-chnical Society, 2023, 38(17): 4683-4700. [4] 王明磊. 基于自抗扰解耦控制的储能变流器稳定性研究[D]. 哈尔滨: 哈尔滨工业大学, 2020. Wang Minglei.Stability study of battery energy storage power converter system based on LADRC-CD control[D]. Harbin: Harbin Institute of Technology, 2020. [5] 王海鑫, 袁佳慧, 陈哲, 等. 智慧城市车-站-网一体化运行关键技术研究综述及展望[J]. 电工技术学报, 2022, 37(1): 112-132. Wang Haixin, Yuan Jiahui, Chen Zhe, et al.Review and prospect of key techniques for vehicle-station-network integrated operation in smart city[J]. Transactions of China Electrotechnical Society, 2022, 37(1): 112-132. [6] Weaver W W, Robinett R D, Parker G G, et al.Energy storage requirements of DC microgrids with high penetration renewables under droop control[J]. International Journal of Electrical Power & Energy Systems, 2015, 68: 203-209. [7] Delfino F, Ferro G, Minciardi R, et al.Identification and optimal control of an electrical storage system for microgrids with renewables[J]. Sustainable Energy, Grids and Networks, 2019, 17: 100183. [8] 龚春阳, 林嘉伟, 黄冬梅, 等. 储能系统双向Buck-Boost变换器控制策略研究[J]. 太阳能学报, 2023, 44(2): 229-238. Gong Chunyang, Lin Jiawei, Huang Dongmei, et al.Research on control strategy of bidirectional Buck-Boost converter in energy storage system[J]. Acta Energiae Solaris Sinica, 2023, 44(2): 229-238. [9] 林莉, 范米, 林雨露, 等. 基于不确定与扰动估计器的直流配电网电压鲁棒控制[J]. 电工技术学报, 2023, 38(17): 4657-4671. Lin Li, Fan Mi, Lin Yulu, et al.Uncertainty and disturbance estimator-based control for voltage robust controller in DC distribution network[J]. Transactions of China Electrotechnical Society, 2023, 38(17): 4657-4671. [10] 郭昕, 黄守道, 彭昱, 等. 基于改进型双幂次趋近律与全局快速终端滑模观测器的IPMSM调速系统滑模控制[J]. 电工技术学报, 2023, 38(1): 190-203. Guo Xin, Huang Shoudao, Peng Yu, et al.Sliding mode control of IPMSM speed regulation system based on an improved double power reaching law and global fast terminal sliding mode observer[J]. Transactions of China Electrotechnical Society, 2023, 38(1): 190-203. [11] 张宇涵, 杜贵平, 雷雁雄, 等. 直流微网混合储能系统控制策略现状及展望[J]. 电力系统保护与控制, 2021, 49(3): 177-187. Zhang Yuhan, Du Guiping, Lei Yanxiong, et al.Current status and prospects of control strategy for a DC micro grid hybrid energy storage system[J]. Power System Protection and Control, 2021, 49(3): 177-187. [12] 杨林, 曾江, 马文杰, 等. 基于改进二阶线性自抗扰技术的微网逆变器电压控制[J]. 电力系统自动化, 2019, 43(4): 146-153. Yang Lin, Zeng Jiang, Ma Wenjie, et al.Voltage control of microgrid inverter based on improved second-order linear active disturbance rejection control[J]. Automation of Electric Power Systems, 2019, 43(4): 146-153. [13] 于艳君, 崔明恺, 柴凤. 双绕组永磁同步电机滑模变结构控制[J]. 电工技术学报, 2022, 37(22): 5799-5807. Yu Yanjun, Cui Mingkai, Chai Feng.Sliding mode variable structure control of a dual-winding permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2022, 37(22): 5799-5807. [14] 石波, 李待兴, 郭伟, 等. 小型压水堆稳压器多变量自抗扰解耦控制研究[J]. 核动力工程, 2021, 42(5): 143-148. Shi Bo, Li Daixing, Guo Wei, et al.Study on multivariable decoupling control of small PWR pressurizer based on active disturbance rejection control[J]. Nuclear Power Engineering, 2021, 42(5): 143-148. [15] Chen Cheng, Yang Huixin.Heading rate controller for unmanned helicopters based on modified ADRC[J]. Science China(Technological Sciences),2023, 66(5): 1255-1262. [16] Yuan Liu, Xiu Chunbo, Ma Xin.Sliding mode control strategy for microgrid inverter systems[J]. Journal of Power Electronics, 2023, 23(5): 821-831. [17] 赵希梅, 吴岑. 基于滑模自抗扰的PMLSM电流偏差解耦控制[J]. 光学精密工程, 2022, 30(4): 431-441. Zhao Ximei, Wu Cen.Current deviation decoupling control based on sliding mode active disturbance rejection for PMLSM[J]. Optics and Precision Engineering, 2022, 30(4): 431-441. [18] 陈鹏云, 张国兵, 李佳成, 等. 固定翼UAV路径跟踪的全局稳定积分滑模S面控制[J/OL]. 计算机工程与应用, 2024, 60(13): 353-360. Chen Pengyun, Zhang Guobing, Li Jiacheng et al. Path tracking controller of fixed-wing UAVs based on globally stable integral sliding mode S-plane model[J]. Computer Engineering and Application, 2024, 60(13): 353-360. [19] 张合新, 范金锁, 孟飞, 等. 一种新型滑模控制双幂次趋近律[J]. 控制与决策, 2013, 28(2): 289-293. Zhang Hexin, Fan Jinsuo, Meng Fei, et al.A new double power reaching law for sliding mode control[J]. Control and Decision, 2013, 28(2): 289-293. [20] Rosier L.Homogeneous Lyapunov function for homogeneous continuous vector field[J]. Systems & Control Letters, 1992, 19(6): 467-473. [21] Bacciotti A, Rosier L.Liapunov Functions and Stability in Control Theory[M]. Berlin: Springer, 2005. [22] Cao Pengfei, Gan Yahui, Dai Xianzhong.Finite-time disturbance observer for robotic manipulators[J]. Sensors, 2019, 19(8): 1943. [23] Shen Yanjun, Huang Yuehua.Uniformly observable and globally Lipschitzian nonlinear systems admit global finite-time observers[J]. IEEE Transactions on Automatic Control, 2009, 54(11): 2621-2625.
2025, Vol. 40 
