Sensorless variable impedance compliant control for human–robot interaction
Source abstract
Abstract
In order to improve compliance in human–robot interaction, a sensorless variable impedance control method is proposed. Variable impedance control is constructed using the end-effector velocity and the human–robot interaction force. Then, the impedance parameters are adjusted online to make the end-effector velocity more compliant with human behavior. Next, a velocity controller is designed to stabilize the end-effector velocity, and a compensation force is designed to avoid the measurement of the interaction force. Based on the velocity controller and the compensation force, an integrated controller is constructed to achieve stable end-effector velocity while compensating the interaction force online. The Lyapunov theory proves that with the sensorless variable impedance control, the system is stable, and the velocity tracking is bounded; simulation results demonstrate its feasibility. The sensorless variable impedance control can achieve more stable velocity and better compliance in human–robot interaction.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Robot Manipulation and Learning · Muscle activation and electromyography studies · Prosthetics and Rehabilitation Robotics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Electrical Engineering and Electronic Information, Xihua University , Chengdu 610039, China
Funding
National Natural Science Foundation of China
References (25)
Show source-provided references
1. Collaborative manufacturing with physical human–robot interaction10.1016/j.rcim.2015.12.007 ↗
2. Robot variable impedance skill transfer and learning framework based on a simplified human arm impedance model10.1109/access.2020.3043524 ↗
3. An impedance control method of lower limb exoskeleton rehabilitation robot based on predicted forward dynamics
4. Admittance control parameter adaptation for physical human-robot interaction
5. Physical human–robot interaction force control method based on adaptive variable impedance10.1016/j.jfranklin.2020.06.007 ↗
6. Human-micromanipulator cooperation using a variable admittance controller10.1007/s11432-018-9663-1 ↗
7. Stable and compliant motion of physical human–robot interaction coupled with a moving environment using variable admittance and adaptive control10.1109/lra.2018.2812916 ↗
8. A control scheme for smooth transition in physical human-robot-environment between two modes: Augmentation and autonomous10.1109/lra.2020.3010450 ↗
9. Neural networks enhanced adaptive admittance control of optimized robot–environment interaction10.1109/tcyb.2018.2828654 ↗
10. Stability-guaranteed variable impedance control of robots based on approximate dynamic inversion10.1109/tsmc.2019.2930582 ↗
11. Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning10.1109/tcyb.2018.2838573 ↗
12. Composite learning enhanced robot impedance control10.1109/tnnls.2019.2912212 ↗
13. Compliant impedance control for a redundant manipulator during human robot interaction
14. Adaptive impedance control of robot manipulators based on Q-learning and disturbance observer10.1080/21642583.2017.1347532 ↗
15. Human–robot collaboration in industrial applications: Safety, interaction and trust10.1177/1729881417716010 ↗
16. Variable admittance control of a four-degree-of-freedom intelligent assist device
17. User force-dependent variable impedance control in human-robot interaction
18. Adaptive impedance control of robots with reference trajectory learning10.1109/access.2020.2999592 ↗
19. Impedance variation and learning strategies in human–robot interaction10.1109/TCYB.2020.3043798 ↗
20. Force sensorless admittance control of body weight support system10.1080/01691864.2021.1875044 ↗
21. Singular perturbation-based variable impedance control of robots with series elastic actuators
22. Hybrid compliance control for locomotion of electrically actuated quadruped robot10.1007/s10846-018-0777-9 ↗
23. Sensorless external force detection method for humanoid robot arm based on BP neural network
24. Impedance learning-based adaptive control for human–robot interaction10.1109/tcst.2021.3107483 ↗
25. Dynamic modelling and trajectory tracking control of unmanned tracked vehicles10.1016/j.robot.2018.09.008 ↗