Global positioning control algorithm of bionic multiagent based on particle filter
Yunxiang Liu · 2021
In order to improve the intelligent positioning ability of bionic multi-agent multi-module robot, an intelligent positioning method of bionic multi-agent multi-module robot based on particle filter and GPS is proposed. A DOA parameter estimation model for intelligent positioning of bionic multi-agent multi-module robot is constructed, and GPS information collection during intelligent positioning of bionic multi-agent multi-module robot is realized by combining spatial orientation characteristic parameter analysis. GPS satellite positioning method is adopted to realize spatial target parameter identification of bionic multi-agent multi-module robot, and particle filter and block calibration fusion method are adopted. The analytical model of adaptive control parameters for bionic multi-agent and multi-module robot positioning is established, and the adaptive parameter estimation and spatial position calculation of bionic multi-agent and multi-module robot are completed by combining GPS positioning correction technology, thus realizing the intelligent positioning algorithm design of bionic multi-agent and multi-module robot. Simulation results show that this method has high positioning accuracy and good positioning accuracy for bionic multi-agent multi-module robot.