基于改进鲸鱼优化算法的LQR控制器优化设计

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI:10.1109/ICICT50521.2020.00067

Qianhao Zhai, Xiaoyu Xia, Siling Feng, Mengxing Huang

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引用次数: 4

摘要

鲸鱼优化算法(WOA)是一种典型的群体智能算法。由于其结构简单、参数少、优化能力强等优点，已被应用于许多不同的优化问题。然而，该方法尚未应用于LQR控制器的优化。在本文中，我们将改进的WOA应用于该问题。并与传统的优化算法(粒子群算法、遗传算法、灰狼优化算法)进行了比较。实验结果表明，改进的WOA算法对LQR控制器的优化效果良好。

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Optimization Design of LQR Controller Based on Improved Whale Optimization Algorithm

Whale optimization algorithm (WOA) is a typical swarm intelligence algorithm. It has been applied to many different optimization problems due to its advantages of simple structure, few parameters and strong optimization ability. However, it has not been used in the optimization of LQR controller. In this paper, we apply the mproved WOA to this problem. It is compared with the traditional optimization algorithm (Particle swarm optimization, genetic algorithm, Grey Wolf optimization algorithm). Experimental results show that the improved WOA performs well in the optimization of LQR controller.

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2020 3rd International Conference on Information and Computer Technologies (ICICT)

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