Abstract: In addressing the issue of traditional algorithms often exhibiting suboptimalperformance when applied to the intelligent control system of an inverted pendulum, we propose 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 establish 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 is simulated using the Python software, with the ultimate goal of achieving stability in the inverted pendulum system.
董如意, 张波. 基于樽海鞘优化算法的倒立摆智能控制系统设计[J]. 吉林化工学院学报, 2024, 41(3): 9-15.
DONG Ruyi, ZHANG Bo. Design of Inverted Pendulum Intelligent Control System based on Salp Swarm Algorithm . Journal of Jilin Institute of Chemical Technology, 2024, 41(3): 9-15.
