基于遗传算法的多路模型预测控制权选择

International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009 Pub Date : 2009-11-01 DOI:10.1109/ICICI-BME.2009.5417217

E. Joelianto, Fikri M. Hernawan

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引用次数: 4

摘要

应用遗传算法求解多路模型预测控制的最优权值。利用遗传算法，可以进行选择程序，以确保MMPC加权参数的最佳组合。利用MMPC控制的烤板系统模型，验证了遗传算法对所选参数的影响。

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Multiplexed model predictive control weighting selection using Genetic Algorithm

This paper presents the application of Genetic Algorithm (GA) to find the optimal weighting of multiplexed model predictive control (MMPC). Using GA, the selection procedure can be done to ensure the best possible combination of the weighting parameters of MMPC. A bake plate system model controlled using MMPC is used to demonstrate the effect of the selected parameters using GA.

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International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009

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