基于双分解和加速梯度方法的分布式MPC控制:在风能-太阳能系统中的应用

2019 International Conference on Signal, Control and Communication (SCC) Pub Date : 2019-12-01 DOI:10.1109/SCC47175.2019.9116148

Dine El Houda Hammami, S. Maraoui, Kais Bouzrara

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引用次数: 1

摘要

分布式控制已成为一个有趣的研究课题。本文研究了一种基于加速对偶梯度法的分布式模型预测控制器(DMPC)，该控制器适用于由非线性子系统动态连接而成的受约束系统。将该算法应用于某风力-太阳能系统。在Matlab上进行的仿真验证了该方法的有效性。

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Distributed MPC control with dual decomposition and accelerated gradient methods: Application for wind-solar systems

Distributed control has emerged as an interesting research topic. This paper studies a distributed Model Predictive Controller (DMPC) with accelerated dual gradient method for systems composed of nonlinear subsystems interconnected dynamically and by constraints. The developed algorithm is applied to a wind-solar system. Simulations conducted on Matlab prove the effectiveness of the proposed approach.

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2019 International Conference on Signal, Control and Communication (SCC)

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