基于D-分割法的直流变换器遗传自抗扰控制器设计

周雪松; 王鑫; 马幼捷; 王博; 赵明; 问虎龙

doi:10.19912/j.0254-0096.tynxb.2023-0802

PDF(1643 KB)

太阳能学报 ›› 2024, Vol. 45 ›› Issue (9) : 378-385. DOI: 10.19912/j.0254-0096.tynxb.2023-0802

基于D-分割法的直流变换器遗传自抗扰控制器设计

周雪松¹, 王鑫¹, 马幼捷¹, 王博¹, 赵明², 问虎龙³

作者信息 +

DESIGN OF GENETIC ACTIVE DISTURBANCE REJECTION CONTROLLER FOR DC-DC CONVERTER BASED ON D-PARTITION METHOD

Zhou Xuesong¹, Wang Xin¹, Ma Youjie¹, Wang Bo¹, Zhao Ming², Wen Hulong³

Author information +

文章历史 +

摘要

针对光伏发电系统中DC-DC变换器由于负载和工作环境条件变化等扰动引起的输出波动问题,提出一种基于D-分割法的直流变换器遗传自抗扰控制器（ADRC）设计方法。该方法适用于设计光伏发电领域中的双向DC-DC变换器,采用D-分割法获得满足闭环系统鲁棒稳定的ADRC控制器参数范围;利用具有全局寻优能力的遗传算法,按综合性能指标在该范围内进行参数寻优。实验结果表明,所提基于D-分割法的直流变换器遗传自抗扰控制器设计方法能有效抑制微网母线侧的电压波动和负载突变,提高控制器的鲁棒性,增强光伏发电系统的动态响应性能和抗干扰能力。

Abstract

Aiming at the output fluctuation problem of DC-DC converter in photovoltaic power generation system caused by disturbances such as load and working environment conditions, a design method of genetic active disturbance rejection controller （ADRC） for DC converter based on D-partition method is proposed. This method is suitable for the design of bidirectional DC-DC converters in the field of photovoltaic power generation, the D-partition method is used to obtain the parameter range of ADRC controller that satisfies the robust stability of the closed-loop system; The genetic algorithm with global optimization ability is used to optimize the parameters in this range according to the comprehensive performance index. The experimental results show that the design method of genetic active disturbance rejection controller for DC converter based on D-partition method mentioned in this paper can effectively suppress DC bus voltage fluctuation and load jump, improve the robustness of the controller, and improve the dynamic response performance and anti-interference ability of the photovoltaic power generation system.

导出引用

周雪松, 王鑫, 马幼捷, 王博, 赵明, 问虎龙. 基于D-分割法的直流变换器遗传自抗扰控制器设计[J]. 太阳能学报. 2024, 45(9): 378-385 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0802

Zhou Xuesong, Wang Xin, Ma Youjie, Wang Bo, Zhao Ming, Wen Hulong. DESIGN OF GENETIC ACTIVE DISTURBANCE REJECTION CONTROLLER FOR DC-DC CONVERTER BASED ON D-PARTITION METHOD[J]. Acta Energiae Solaris Sinica. 2024, 45(9): 378-385 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0802

中图分类号： TM615

参考文献

[1] 王逸轩, 戴宇轩. 基于专家示范深度强化学习的光伏系统MPPT控制[J]. 电源技术, 2023, 47(2): 265-270.
WANG Y X, DAI Y X.MPPT control of photovoltaic system based on expert demonstration of deep reinforcement learning[J]. Chinese journal of power sources, 2023, 47(2): 265-270.
[2] 王炳国, 王东, 郑春生, 等. 基于改进遗传算法的高压直流输电系统逆变器定电压自抗扰控制器的设计[J]. 制造业自动化, 2010, 32(4): 152-157.
WANG B G, WANG D, ZHENG C S, et al.Design of the constant voltage active-disturbance-rejection controller of inverter in HVDC system based on the improved genetic algorithm[J]. Manufacturing automation, 2010, 32(4): 152-157.
[3] 马红波, 冯全源. BUCK型开关变换器最优PID控制器设计[J]. 电机与控制学报, 2008, 12(6): 639-643.
MA H B, FENG Q Y.Optimized PID controller design for BUCK DC-DC switching converters[J]. Electric machines and control, 2008, 12(6): 639-643.
[4] 顾浦阳, 张兴, 陈少龙, 等. 基于D分割法的燃料电池DC/DC变换器控制设计[J]. 电力电子技术, 2022, 56(5): 130-133.
GU P Y, ZHANG X, CHEN S L, et al.Control design of fuel cell DC/DC converter based on D partition method[J]. Power electronics, 2022, 56(5): 130-133.
[5] 杨惠, 骆姗, 孙向东, 等. 光伏储能双向DC-DC变换器的自抗扰控制方法研究[J]. 太阳能学报, 2018, 39(5): 1342-1350.
YANG H, LUO S, SUN X D, et al.Research on ADRC method for bidirectional DC-DC converter of solar energy storage system[J]. Acta energiae solaris sinica, 2018, 39(5): 1342-1350.
[6] 杨惠, 晁凯悦, 孙向东, 等. 基于开关序列的光伏储能双向DC-DC变换器预测电流控制方法[J]. 电网技术, 2019, 43(1): 300-307.
YANG H, CHAO K Y, SUN X D, et al.Predictive current control method of photovoltaic energy storage for bidirectional DC-DC converter based on switching sequence[J]. Power system technology, 2019, 43(1): 300-307.
[7] 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 C Y, LIN J W, HUANG D M, 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.
[8] 虞忠明, 朱伟. 含风力发电机的时滞电力系统稳定性研究[J]. 控制工程, 2018, 25(10): 1871-1875.
YU Z M, ZHU W.Study on stability for delayed power systems with wind turbine generators[J]. Control engineering of China, 2018, 25(10): 1871-1875.
[9] TAO L, WANG P, WANG Y F, et al.Variable structure ADRC-based control for load-side buck interface converter: formation, analysis, and verification[J]. IEEE transactions on industrial electronics, 2022, 69(6): 6236-6246.
[10] HAN J Q.From PID to active disturbance rejection control[J]. IEEE transactions on industrial electronics, 2009, 56(3): 900-906.
[11] 李大字, 于文龙, 靳其兵. 一阶时滞系统线性自抗扰控制器参数稳定域分析[J]. 控制理论与应用, 2017, 34(9): 1244-1249.
LI D Z, YU W L, JIN Q B.Stability region analysis of linear active disturbance rejection controllers for first order systems with time delay[J]. Control theory & applications, 2017, 34(9): 1244-1249.
[12] GAO Z Q.Scaling and bandwidth-parameterization based controller tuning[C]//Proceedings of the 2003 American Control Conference. Denver, CO, USA, 2003: 4989-4996.
[13] 吴振龙, 何婷, 李东海, 等. 自抗扰控制器稳定域与鲁棒稳定域计算及工程应用[J]. 控制理论与应用, 2018, 35(11): 1635-1647.
WU Z L, HE T, LI D H, et al.The calculation of stability and robustness regions for active disturbance rejection controller and its engineering application[J]. Control theory & applications, 2018, 35(11): 1635-1647.
[14] 荆立坤, 唐宜强, 潘凤萍, 等. 基于鲁棒约束的PI控制器参数多目标优化及应用[J]. 华电技术, 2021, 43(5): 1-8.
JING L K, TANG Y Q, PAN F P, et al.Multi-objective optimization of PI controller parameters under robustness constraint and its application[J]. Huadian technology, 2021, 43(5): 1-8.
[15] HWANG C, HWANG L F, HWANG J H.Robust D-partition[J]. Journal of the Chinese Institute of Engineers, 2010, 33(6): 811-821.
[16] 张强, 缪维跑, 刘青松, 等. 基于多目标遗传算法的垂直轴风力机专用翼型优化设计[J]. 太阳能学报, 2023, 44(4): 9-16.
ZHANG Q, MIAO W P, LIU Q S, et al.Optimal design of vertical axis wind turbine special airfoil based on multi-objective genetic algorithm[J]. Acta energiae solaris sinica, 2023, 44(4): 9-16.
[17] 李翠明, 任柯州, 龚俊. 基于改进遗传算法的清洁移动机械臂运动学逆解[J]. 太阳能学报, 2022, 43(7): 180-185.
LI C M, REN K Z, GONG J.Inverse kinematics solution of cleaning mobile manipulator based on improved genetic algorithm[J]. Acta energiae solaris sinica, 2022, 43(7): 180-185.
[18] 王生亮, 刘根友, 高铭, 等. 改进的自适应遗传算法在TDOA定位中的应用[J]. 系统工程与电子技术, 2019, 41(2): 254-258.
WANG S L, LIU G Y, GAO M, et al.Application of improved adaptive genetic algorithm in TDOA location[J]. Systems engineering and electronics, 2019, 41(2): 254-258.
[19] 马宏达, 邓义斌, 郭强波. 基于遗传算法的二自由度波浪能装置阵列优化[J]. 太阳能学报, 2022, 43(6): 264-269.
MA H D, DENG Y B, GUO Q B.Optimization of 2-dof wave energy converters array based on genetic algorithm[J]. Acta energiae solaris sinica, 2022, 43(6): 264-269.
[20] 金仁波, 陈克难. 基于粒子群算法的Boost变换器ADRC优化设计[J]. 舰船电子工程, 2022, 42(9): 58-61.
JIN R B, CHEN K N.Optimization of ADRC parameters of Boost converter based on particle swarm algorithm[J]. Ship electronic engineering, 2022, 42(9): 58-61.