Quadratic Constrained Periodic Optimization for Bandlimited Linear Systems Via the Fourier-Based Method

IF 1.7 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
G. Moretti, L. Zaccarian, F. Blanchini
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引用次数: 1

Abstract

Motivated by engineering applications, we address bounded steady-state optimal control of linear dynamical systems undergoing steady-state bandlimited periodic oscillations. The optimization can be cast as a minimization problem by expressing the state and the input as finite Fourier series expansions, and using the expansions coefficients as parameters to be optimized. With this parametrization, we address linear quadratic problems involving periodic bandlimited dynamics by using quadratic minimization with parametric time-dependent constraints. We hence investigate the implications of a discretization of linear continuous time constraints and propose an algorithm that provides a feasible suboptimal solution whose cost is arbitrarily close to the optimal cost for the original constrained steady-state problem. Finally, we discuss practical case studies that can be effectively tackled with the proposed framework, including optimal control of DC/AC power converters, and optimal energy harvesting from pulsating mechanical energy sources.
基于傅里叶方法的带限线性系统的二次约束周期优化
受工程应用的启发,我们研究了经历稳态带限周期振荡的线性动力系统的有界稳态最优控制。通过将状态和输入表示为有限的傅里叶级数展开,并将展开系数作为优化参数,可以将优化转化为最小化问题。有了这个参数化,我们通过使用参数时间相关约束的二次最小化来解决涉及周期性带限动力学的线性二次问题。因此,我们研究了线性连续时间约束离散化的含义,并提出了一种算法,该算法提供了可行的次优解,其代价任意接近原始约束稳态问题的最优代价。最后,我们讨论了实际案例研究,包括DC/AC电源转换器的最优控制,以及脉动机械能的最优能量收集。
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来源期刊
CiteScore
3.90
自引率
11.80%
发文量
79
审稿时长
24.0 months
期刊介绍: The Journal of Dynamic Systems, Measurement, and Control publishes theoretical and applied original papers in the traditional areas implied by its name, as well as papers in interdisciplinary areas. Theoretical papers should present new theoretical developments and knowledge for controls of dynamical systems together with clear engineering motivation for the new theory. New theory or results that are only of mathematical interest without a clear engineering motivation or have a cursory relevance only are discouraged. "Application" is understood to include modeling, simulation of realistic systems, and corroboration of theory with emphasis on demonstrated practicality.
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