基于海洋捕食者算法的波浪能转换装置模型预测控制
Model Predictive Control of Wave Energy Converter With Marine Predators Algorithm
方红伟 1魏秀娜1
作者信息
- 1. 天津大学电气自动化与信息工程学院,天津市 南开区 300072
- 折叠
摘要
该文提出一种基于智能海洋捕食者算法的模型预测控制策略,实现了波浪能转换装置的动态最大能量捕获.提出的模型预测控制策略利用海洋捕食者算法来获取最优控制力,并采用非线性限制来控制功率的单向流动.通过相应的对比分析验证了海洋捕食者算法的优化准确性和快速收敛性.该方法还利用控制域来处理最优控制变量以便在算法的计算负担和优化准确度之间进行平衡.所提出的方法证明在处理多维的波浪能转换系统方面,特别是系统的非凸和非线性限制问题,具有较好的利用价值.仿真与实验结果证明提出的方法能较好地提高波浪能转换装置的输出功率,并满足典型海域工况下的实时需求.
Abstract
A novel intelligent model predictive control(MPC)based on the marine predators algorithm is proposed in this paper to dynamically achieve the output power maximization of the wave energy converter(WEC).In the MPC for WEC,the MPA is applied to obtain the optimal control force.The nonlinear restriction of unidirectional power flow is considered in the proposed method.The excellent optimization accuracy and fast convergence ability of MPA are verified through corresponding comparisons.In addition,the control horizon is adopted to handle optimal control variables so that the computational burden and optimization accuracy of the method can be balanced.The proposed method is beneficial to the multi-dimensional WEC system,especially for solving its nonconvex problem and nonlinear constraints.Simulation and experimental results show that the proposed method can improve the output power of the WEC and satisfy the real-time requirement in typical sea conditions.
关键词
海洋捕食者算法/模型预测控制/单向功率流动限制/波浪能转换Key words
marine predators algorithm/model predictive control/unidirectional power flow limitation/wave energy conversion引用本文复制引用
基金项目
国家自然科学基金(51877148)
国家重点研发计划(2023YFE0198100)
出版年
2024
国家科技期刊平台
NSTL
万方数据