Optimization Design of Intelligent Vehicle Posture for Garbage Sorting in Competitions
In order to solve the problems of high cost and low efficiency of human resources in household garbage cleaning,a design scheme for garbage sorting intelligent vehicle is proposed.This study aims to improve the efficiency and accuracy of robotic arm grasping,optimize the kinematic solution algorithm and structural design of the robotic arm.To solve the positioning deviation caused by wheel slippage in intelligent vehicles,the displacement data is measured and MATLAB is used to calculate the fitting curve quartic polynomial for optimization.To address the issue of zero drift in gyroscopes,the Kalman filtering algorithm is used for optimization.Through comprehensive improvement,the intelligent vehicle's robotic arm and body posture control are made more precise and reliable.The results indicate that the designed garbage sorting intelligent vehicle can obtain accurate and reliable posture information,thereby efficiently completing sorting tasks.
forward and inverse kinematicsleast square methodoptimization analysisKalman filter
国家科技期刊平台
NSTL
万方数据
维普
