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基于樽海鞘优化算法的倒立摆智能控制系统设计

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针对传统算法应用在倒立摆智能控制系统上的效果往往不佳的问题,提出一种基于樽海鞘优化算法(SSA)的倒立摆智能控制系统设计.以一级倒立摆为研究控制对象,建立倒立摆数学模型,先用神经网络控制,再用SSA算法优化神经网络的权重值,找到最佳的控制参数,并借助python软件进行仿真,最终使倒立摆系统稳定.
Design of Inverted Pendulum Intelligent Control System based on Salp Swarm Algorithm
In addressing the issue of traditional algorithms often exhibiting suboptimal performance when applied to the intelligent control system of an inverted pendulum,we proposed a design for an inverted pendulum intelligent control system based on the salp swarm algorithm(SSA).Focusing on a single inverted pendulum as the controlled object,we established a mathematical model for the inverted pendulum.The control approach involves initially employing a neural network,followed by the optimization of the neural network's weights using the SSA algorithm.This optimization aims to identify the optimal control parameters.The entire system was simulated using the Python software,with the ultimate goal of achieving stability in the inverted pendulum system.

inverted pendulumsalp swarm algorithmintelligent control

董如意、张波

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吉林化工学院 信息与控制工程学院,吉林 吉林 132022

倒立摆 樽海鞘优化算法 智能控制

2024

吉林化工学院学报
吉林化工学院

吉林化工学院学报

影响因子:0.351
ISSN:1007-2853
年,卷(期):2024.41(3)