Control of Kalman Filter Based Z-source Inverter in Photovoltaic applications

被引：0
|
作者：
Basavaraj, Abhishek Gubbi [1 ]
Na, Woonki [1 ]
Wang, Nan [1 ]
Kim, Jonghoon [2 ]
Kim, Taehyung [3 ]
机构：
[1] Calif State Univ Fresno, Dept Elect & Comp Engn, Fresno, CA 93740 USA
[2] Chungnam Natl Univ, Dept Elect Engn, Daejon, South Korea
[3] Univ Michigan Dearborn, Dept Elect & Comp Engn, Dearborn, MI USA
来源：
2019 10TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ECCE ASIA (ICPE 2019 - ECCE ASIA) | 2019年
基金：
美国国家科学基金会;
关键词：
Kalman filter; Z-source Inverter; Control; LINK BOOST VOLTAGE; CONTROL STRATEGY;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this research, a Kalman filter-based Z-source inverter is proposed with an enhanced control algorithm for Maximum Power Pointer Tracking(MPPT) and this capacitor voltage stabilization. By implementing Unified Linear Kalman Filter Algorithm with Capacitor Voltage Control (CVC) algorithm for the Z-source inverter, the Kalman Filter can track Maximum Power Point (MPP) faster than traditional algorithm such as Perturb and Observation (P&O) algorithm, that has a minimum impact on rapidly changing atmospheric conditions. Thus, by using the Integrated Kalman Filter and CVC algorithm we can achieve faster, effective and capacitor voltage regulation at the same time. The effectiveness of this proposed Kalman Filter with CVC Algorithm for Z-source inverter is validated in MATLAB/Simulink and a hardware prototype has been built to verify the simulation and theoretical results.
引用
收藏
页码：2605 / 2609
页数：5
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