Year: 2024
Type: conference-paper
Abstract: In order to improve the dexterity of robots in complex environments and meet the people's requirements for robot work efficiency, the harmony search algorithm has been improved and integrated into the initial population generation process of genetic algorithm to optimize the parameters of traditional PID controllers. The simulation results show that the optimized harmony search genetic algorithm has better ability to handle nonlinear problems, improves the steady-state accuracy, response speed, and robustness of the controller, and can better complete complex environmental tasks.
Authors: Zhaolan He, Shuming Jia, Xingrong Zhu
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405167866