增强 CPL 升压转换器的干扰抑制能力:采用部分极点布局和近似模型匹配的控制器设计方法

Sarva Ruvinigya Somanshu, Md Nishat Anwar, Ramesh Kumar
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引用次数: 0

摘要

在直流微电网中,直流-直流转换器的级联运行会导致由升压转换器馈电的恒定功率负载,从而产生非最小相位动态之外的不稳定行为。本文提出了一种基于部分极点放置和近似模型匹配技术的增强型负载干扰抑制控制方案。这种方法受到著名的直接合成法的启发,以实现最佳的负载干扰抑制性能。通过硬件实施验证了所提控制方案的有效性,证明了其在负载功率和输入电压变化时的设定点跟踪和负载干扰抑制能力。考虑到不同的性能矩阵,通过哈里托诺夫定理和蒙特卡洛仿真研究了所提方案的鲁棒稳定性。通过分析近期报告的作品的性能对比,确定了所提方案的适用性。所提出的控制器将峰值过冲和稳定时间减少了 ∼ 50%,处理系统不确定性高达 75%,性能优于使用粒子群优化、蜂后遗传算法和混沌博弈优化方法调整的 FOPID 控制器。
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Enhancing disturbance rejection in boost converter for CPL: A controller design approach with partial pole placement and approximate model matching.

In DC microgrids, the cascade operation of the DC-DC converters leads to a constant power load fed by the boost converter, resulting in unstable behavior in addition to the non-minimum phase dynamics. An enhanced load disturbance rejection control scheme based on partial pole placement and an approximate model matching technique is proposed. This approach is inspired by the well-known direct synthesis method to achieve optimal load disturbance rejection performance. The effectiveness of the proposed control scheme has been validated through hardware implementation, demonstrating its capability in setpoint tracking and load disturbance rejection under variations in load power and input voltage. The robust stability of the suggested scheme has been investigated through the Kharitonov theorem and Monte-Carlo simulation, considering different performance matrices. The suitability of the presented scheme has been established by analyzing the comparative performance of recently reported works. The proposed controller reduces peak overshoot and settling time by ∼50%, handles system uncertainties up to 75%, and outperforms FOPID controllers tuned with particle swarm optimization, queen bee genetic algorithm, and chaos game optimization methods.

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