Finite time trajectory tracking of a switched non inverting buck–boost converter using pulse width modulation

Chandan Kumar, Anjan Kumar Ray
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引用次数: 0

Abstract

Control and monitoring of DC–DC converters have become crucial issues as these devices grow more and more prevalent in power electronics applications, including renewable energy systems, DC microgrids, electric vehicle, and More Electric Aircraft (MEA). This paper proposes a novel approach that uses state space averaging method, backstepping control, and pulse width modulation to track the trajectory in finite time of a non-inverting buck–boost converter in both buck and boost modes. The main objective is to find the voltage across capacitor which facilitates tracking of an output reference voltage. For modeling the non-inverting buck–boost converter, the expression of the final state space equation is found using the state space averaging method, while the expression of the continuous finite time controller is found using the backstepping control technique. The tracking error is minimized in the simulation, ensuring stability of the closed loop system based on the Lyapunov stability theorem. The simulation results demonstrate the effectiveness of the proposed control technique. Comparative analysis using fuzzy, PID, PI, OCC (One Cycle Control), GPC (Generalized Predictive Control), energy based model, and MDPP (Minimum Degree Pole Placement) ensures the efficacy of proposed method.
脉冲宽度调制开关非反相降压-升压变换器的有限时间轨迹跟踪
随着DC - DC转换器在电力电子应用中越来越普遍,包括可再生能源系统、直流微电网、电动汽车和多电动飞机(MEA), DC - DC转换器的控制和监测已成为关键问题。本文提出了一种利用状态空间平均法、反步控制和脉宽调制在有限时间内跟踪降压和升压模式下非反相降压-升压变换器轨迹的新方法。主要目标是找到电容两端的电压,以便跟踪输出参考电压。对于非逆变降压-升压变换器的建模,采用状态空间平均法求出最终状态空间方程的表达式,而连续有限时间控制器的建模则采用反步控制技术。基于李雅普诺夫稳定性定理,在仿真中使跟踪误差最小化,保证了闭环系统的稳定性。仿真结果验证了所提控制方法的有效性。采用模糊、PID、PI、OCC(单周期控制)、GPC(广义预测控制)、能量模型和MDPP(最小极点配置)进行对比分析,保证了所提方法的有效性。
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CiteScore
2.10
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