Research on PID Neural Network Decoupling Control Among Joints of Hydraulic Quadruped Robot | Bentham Science

摘要

Background: Hydraulic quadruped robot is a representative of the redundant transmission.This is a great challenge for multi-joints coordinated movement of the robot, because of themovement coupling with several freedom degrees among kinematic chains. Therefore, there is anurgent need to realize the decoupling among the joints of the hydraulic quadruped robot.Objective: The purpose of this study is to provide an overview of controller design from manystudies and patents, and propose a novel controller to realize the decoupling control among jointsof a hydraulic quadruped robot.Methods: For the coupling problems between the thigh and calf of a hydraulic quadruped robot,based on the Lagrangian method, dynamics model of the robot’s leg is established. The influence ofdriven system is considered. The model of the hydraulic servo driven system is built, so as to obtainthe coupling relationship between thigh and calf of hydraulic quadruped robot. Based on the multivariabledecoupling theory, a PID neural network decoupling controller is designed.Results: The researches on experiments are executed. The PID neural network decoupling controlmethod is compared with the control that does not use any decoupling method. The decoupling effectof the proposed algorithm is verified on the thigh and the calf of the hydraulic quadruped robot.Conclusion: The designed PID neural network decoupling control method reduces the crosscouplingbetween thigh and calf of the hydraulic quadruped robot, and has obvious effect to improvethe dynamic characteristics of single joint of robot's leg.