Design and control aspect of segmented proportional integral-repetitive controller parameter optimization of the three-phase boost power factor correction rectifier

被引:5
作者
Ali, Muhammad Saqib [1 ]
Wang, Lei [1 ]
Chen, Guozhu [1 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Inst Power Elect, Hangzhou, Peoples R China
关键词
genetic algorithm; parallel PI‐ repetitive control; power factor correction; segmented control; total harmonic distortion; CONTROL SCHEME; MODEL; IMPLEMENTATION; STABILITY; INVERTER; ESSENCE;
D O I
10.1002/cta.2896
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
This paper presented a modeling and control aspect with an offline-based parameter optimization algorithm for effectively tuning the controller parameters of the three-phase boost power factor correction (PFC) rectifier system. While analyzing the shortcomings of the traditional PI control with complex control transfer functions from small-signal models and investigating the limitations of PI control on harmonic suppression from the internal model principle, a simplified form of control transfer functions based on the small-signal model has been proposed with segmented control action. Consequently, the methodology has the advantages of both simplified control strategies and segmented PI-repetitive control so as to achieve the performance of high-power factor and to reduce total harmonic distortion in a broad range of load conditions. However, the segmented PI-repetitive control contains many control parameters. Thus, the solution and optimization for tuning the controller parameters based on heuristic offline optimization technique have been used to speed up the design of control system parameters. The validity and feasibility of the proposed design and optimization are verified using a 5-kW three-phase PFC rectifier with digital signal processor (DSP) TMS320F28335 prototype hardware. The results were then compared with those of traditional controller designs, which show the improvements and effectiveness of rectifier performance after adopting the proposed design and optimization technique.
引用
收藏
页码:554 / 575
页数:22
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