End-effector Cartesian stiffness shaping - sequential least squares programming approach
Control of robot end-effector (EE) Cartesian stiffness matrix (or the whole mechanical impedance) is still a challenging open issue in physical humanrobot interaction (pHRI). This paper presents an optimization approach for shaping the robot EE Cartesian stiffness. This research targets collaborativ...
Uloženo v:
| Vydáno v: | Serbian journal of electrical engineering Ročník 18; číslo 1; s. 1 - 14 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Faculty of Technical Sciences in Cacak
01.01.2021
|
| Témata: | |
| ISSN: | 1451-4869, 2217-7183 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | Control of robot end-effector (EE) Cartesian stiffness matrix (or the whole
mechanical impedance) is still a challenging open issue in physical
humanrobot interaction (pHRI). This paper presents an optimization approach
for shaping the robot EE Cartesian stiffness. This research targets
collaborative robots with intrinsic compliance - serial elastic actuators
(SEAs). Although robots with SEAs have constant joint stiffness, task
redundancy (null-space) for a specific task could be used for robot
reconfiguration and shaping the stiffness matrix while still keeping the EE
position unchanged. The method proposed in this paper to investigate
null-space reconfiguration's influence on Cartesian robot stiffness is based
on the Sequential Least Squares Programming (SLSQP) algorithm, which
presents an expansion of the quadratic programming algorithm for nonlinear
functions with constraints. The method is tested in simulations for 4 DOF
planar robot. Results are presented for control of the EE Cartesian
stiffness initially along one axis, and then control of stiffness along both
planar axis - shaping the main diagonal of the EE stiffness matrix. |
|---|---|
| ISSN: | 1451-4869 2217-7183 |
| DOI: | 10.2298/SJEE2101001K |