基于场景的不间断电源鲁棒控制设计

Aisha Qamar, A. Awan, Kunwar Faraz Ahmed Khan, Muwahida Liaquat
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摘要

本文提出了一种基于场景的不间断电源鲁棒控制方案的设计方法,该方法是一种概率解框架,用于综合和分析受不确定性项参数化的凸约束的线性目标的最小化问题。基于场景的问题是一个标准的凸优化问题,其解对于无限约束集近似可行,并通过对不确定约束进行适当采样得到。UPS的负载变化影响输出电压,因此在UPS的动态模型中被认为是一个已知范围的线性不确定参数。在负载变化的情况下,建立了LPV h∞优化问题,使输出电压保持在期望值。为了保证控制问题具有先验的特定概率鲁棒性,我们采用基于场景的方法,随机选择有限数量的负载变化的不确定场景,而不是使用传统的覆盖和评论整个不确定性集的多主题方法,并通过使用线性矩阵不等式(lmi)求解优化问题来有效地计算场景问题的解。数值仿真以及与LPV h∞和线性PID控制设计的比较表明,所提出的方案使系统对不确定性和外源干扰具有更强的鲁棒性,使系统保持稳定,并改善了系统的THD和暂态性能。
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Scenario based robust control design for uninterruptible power supplies
The paper presents the designing of a robust control scheme for uninterruptible power supplies (UPS) by implementing scenario based approach which is a probabilistic solution framework to synthesize and analyze the problems that can be expressed in the form of minimization of a linear objective subject to convex constraints parameterized by uncertainty terms. The scenario based problem being a standard convex optimization problem possesses the solution which is approximately feasible for the infinite set of constraints and is obtained by appropriate sampling of uncertain constraints. The load variation of UPS affects the output voltage and hence is considered as a linear uncertain parameter with a known range in the dynamic model of UPS. An LPV H-infinity optimization problem is formulated in the presence of load variations maintaining the output voltage to the desired value. To design the control problem guaranteeing an a-priori particular probabilistic robustness we use the scenario based approach by randomly selecting the finite number of uncertain scenarios for the load variations instead of using conventional ploytopic approach which covers and comments on the entire uncertainty set for UPS and the solution of scenario problem is computed efficiently by solving the optimization problem using linear matrix inequalities (LMIs). Numerical simulations and comparisons with LPV H-infinity and with linear PID control design shows the proposed scheme makes the system more robust towards uncertainties as well as exogenous disturbances to make it stable and improving its THD and transient performance.
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