Passivity-based controllers are widely used to facilitate physical interaction between humans and elastic joint robots,as they enhance the stability of the interaction system.However,the joint position tracking perfor...Passivity-based controllers are widely used to facilitate physical interaction between humans and elastic joint robots,as they enhance the stability of the interaction system.However,the joint position tracking performance can be limited by the structures of these controllers when the system is faced with uncertainties and rough high-order system state measurements(such as joint accelerations and jerks).This study presents a variable structure passivity(VSP)control method for joint position tracking of elastic joint robots,which combines the advantages of passive control and variable structure control.This method ensures the tracking error converges in a finite time,even when the system faces uncertainties.The method also preserves the passivity of the system.Moreover,a cascaded observer,called CHOSSO,is also proposed to accurately estimate high-order system states,relying only on position and velocity signals.This observer allows independent implementation of disturbance compensation in the acceleration and jerk estimation channels.In particular,the observer has an enhanced ability to handle fast time-varying disturbances in physical human-robot interaction.The effectiveness of the proposed method is verified through simulations and experiments on a lower limb rehabilitation robot equipped with elastic joints.展开更多
In rolling experiments,the performances of spider-like robot are limited greatly by its motors’driving ability;meanwhile,the ground reaction forces are so great that they damaged the rods.In this paper,we solve above...In rolling experiments,the performances of spider-like robot are limited greatly by its motors’driving ability;meanwhile,the ground reaction forces are so great that they damaged the rods.In this paper,we solve above problems both mechanically and by control.Firstly,we design the parameters of the central pattern generator(CPG)network based on the kinematics of the robot to enable a smooth rolling trajectory.And we also analyze the kinematic rolling and dynamic rolling briefly.Secondly,we add torsion springs to the passive joints of the spider-like robot aiming to make use of its energy storage capacity to compensate the insufficient torque.The simulation results show that the optimized CPG control parameters can reduce the fluctuation of the mass center and the ground reaction forces.The torsion spring can reduce the peak torque requirements of the actuated joints by 50%.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.91648112,52375506)。
文摘Passivity-based controllers are widely used to facilitate physical interaction between humans and elastic joint robots,as they enhance the stability of the interaction system.However,the joint position tracking performance can be limited by the structures of these controllers when the system is faced with uncertainties and rough high-order system state measurements(such as joint accelerations and jerks).This study presents a variable structure passivity(VSP)control method for joint position tracking of elastic joint robots,which combines the advantages of passive control and variable structure control.This method ensures the tracking error converges in a finite time,even when the system faces uncertainties.The method also preserves the passivity of the system.Moreover,a cascaded observer,called CHOSSO,is also proposed to accurately estimate high-order system states,relying only on position and velocity signals.This observer allows independent implementation of disturbance compensation in the acceleration and jerk estimation channels.In particular,the observer has an enhanced ability to handle fast time-varying disturbances in physical human-robot interaction.The effectiveness of the proposed method is verified through simulations and experiments on a lower limb rehabilitation robot equipped with elastic joints.
基金the Fundamental Research Funds for the Central Universities of China(No.M15JB00250)。
文摘In rolling experiments,the performances of spider-like robot are limited greatly by its motors’driving ability;meanwhile,the ground reaction forces are so great that they damaged the rods.In this paper,we solve above problems both mechanically and by control.Firstly,we design the parameters of the central pattern generator(CPG)network based on the kinematics of the robot to enable a smooth rolling trajectory.And we also analyze the kinematic rolling and dynamic rolling briefly.Secondly,we add torsion springs to the passive joints of the spider-like robot aiming to make use of its energy storage capacity to compensate the insufficient torque.The simulation results show that the optimized CPG control parameters can reduce the fluctuation of the mass center and the ground reaction forces.The torsion spring can reduce the peak torque requirements of the actuated joints by 50%.
