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Economic Model Predictive Control of a Point Absorber Wave Energy Converter
IEEE Transactions on Sustainable Energy ( IF 8.6 ) Pub Date : 2020-07-29 , DOI: 10.1109/tste.2020.3012755
Yubin Jia , Ke Meng , Lu Dong , Tongming Liu , Changyin Sun , Zhao Yang Dong

In this paper, we propose an economic model predictive control (EMPC) strategy for the constrained optimization problem of the wave energy converter system. Unlike standard model predictive control (MPC) that uses the tracking cost function, in EMPC, a general economic cost function that directly reflects the economic objective of the system is established. In the wave energy converter (WEC), the general economic cost function aims to maximize the energy extracted from ocean waves and minimize the operation cost. The terminal equality constraint in the optimization problem is used to steer the system state to the steady-state at the end of the optimization horizon. Then the controller solves the non-convex optimization problem in real-time. The auxiliary optimization problem is used for the stability analysis, and the convergence of the system can be proved via the Lyapunov technique. Several simulation results are presented to demonstrate the effectiveness of the proposed strategy.

中文翻译:


点吸收波能转换器的经济模型预测控制



在本文中,我们针对波浪能转换器系统的约束优化问题提出了一种经济模型预测控制(EMPC)策略。与使用跟踪成本函数的标准模型预测控制(MPC)不同,EMPC 建立了直接反映系统经济目标的通用经济成本函数。在波浪能转换器(WEC)中,一般经济成本函数旨在最大化从海浪中提取的能量并最小化运营成本。优化问题中的终端等式约束用于在优化范围结束时将系统状态引导至稳态。然后控制器实时求解非凸优化问题。利用辅助优化问题进行稳定性分析,并通过Lyapunov技术证明系统的收敛性。给出了几个仿真结果来证明所提出策略的有效性。
更新日期:2020-07-29
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