电子科技2026，Vol.39Issue(4)：19-27,9.DOI:10.16180/j.cnki.issn1007-7820.2026.04.003
基于柯西-反向秃鹫融合算法的优化动态矩阵控制
Optimization of Dynamic Matrix Control Based on Cauchy Opposite Vulture Fusion Algorithm
摘要
Abstract
In view of the problem that controller parameters are difficult to select for complex systems with large time delays and large inertia,this study proposes a Cauchy-reverse vulture fusion algorithm to optimize the parameter selection of DMC(Dynamic Matrix Control).By introducing Cauchy mutation,lens opposition-based learning,and the exploration mechanism of the eagle algorithm into the framework of the African vulture algorithm,the search range is expanded and the late-stage exploration ability is enhanced,thereby improving the global optimization capability of the algorithm.The effectiveness of the proposed algorithm in improving optimization accuracy is verified through mul-tiple test functions.The proposed algorithm is applied to the DMC control systems of desulfurization towers and distil-lation tower models.The control horizon and prediction horizon parameters are optimized through iteration,and set-point tracking control simulation and anti-interference tests are carried out.The simulation test results show that the optimized DMC controller can achieve fast and accurate set-point tracking,significantly reducing the overshoot and adjustment time.关键词
复杂系统控制/参数优化/动态矩阵控制/柯西-反向秃鹫融合算法/全局寻优能力/控制优化/抗干扰能力/动态特性Key words
complex system control/parameter optimization/dynamic matrix control/Cauchy opposite vulture fu-sion algorithm/global optimization capability/control optimization/anti-interference ability/dynamic characteristics分类
信息技术与安全科学引用本文复制引用
庄皓涵,王亚刚..基于柯西-反向秃鹫融合算法的优化动态矩阵控制[J].电子科技,2026,39(4):19-27,9.基金项目
国家重点研发计划(2020YFC2007502)National Key R&D Program of China(2020YFC2007502) （2020YFC2007502）
