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作 者:江田田 于新红 苏畅 谭绍林 汪凤翔 JIANG Tiantian;YU Xinhong;SU Chang;TAN Shaolin;WANG Fengxiang(School of Advanced Manufacturing,Fuzhou University,Quanzhou 362200,China;National and Local Joint Engineering Research Center for Electrical Drives and Power Electronics(Quanzhou Institute of Equipment Manufacturing,Haixi Institute,CAS),Quanzhou 362216,China;College of Mechanical and Electrical Engineering,Fujian Agriculture and Forestry University,Fuzhou 350100,China;College of Computer and Cyber Security,Fujian Normal University,Fuzhou 350117,China)
机构地区:[1]福州大学先进制造学院,泉州362200 [2]电机驱动与功率电子国家地方联合工程研究中心(中国科学院海西研究院泉州装备制造研究中心),泉州362216 [3]福建农林大学机电工程学院,福州350100 [4]福建师范大学计算机与网络空间安全学院,福州350117
出 处:《电力系统及其自动化学报》2024年第12期85-92,共8页Proceedings of the CSU-EPSA
基 金:国家自然科学基金资助项目(52277070)。
摘 要:针对三相并网逆变器受参数变化等因素引起的未知扰动导致系统控制性能下降的问题,提出一种基于补偿函数观测器的无模型预测功率控制算法。首先,以超局部模型代替原有的逆变器模型,降低对系统模型的依赖,提升系统鲁棒性;其次,设计补偿函数观测器,估计超局部模型中的集总扰动,利用含补偿函数的信号跟踪器补偿传统观测器的估计残差,提高系统对扰动的估计精度;最后,设计无差拍代价函数,实现系统的无差跟踪。实验结果验证了所提方法具有更好的动稳态性能。To address the issue of system control performance degradation in a three-phase grid-connected inverter caused by unknown disturbances resulting from factors such as parameter changes,a model-free predictive power con-trol algorithm based on compensation function observer(CFO)is proposed.First,an ultra-local model is constructed to replace the original inverter model,thus reducing the dependence on the system model and enhancing the system ro-bustness.Second,to improve the estimation accuracy of the system with respect to disturbances,a CFO is designed to estimate the integrated disturbances in the ultra-local model,and the estimation residuals of the traditional observer are compensated by utilizing a signal tracker with the compensation function.Finally,a deadbeat cost function is designed to achieve the disturbance-free tracking of the system.Experimental results verified the superior dynamic and steady-state performances of the proposed method.
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