Improved Harmony Search Genetic Algorithm for Optimizing Robot Arm Controllers

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.