Imperial College London
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ProfessorPeterChilds

Faculty of Engineering

Co-Director of the Energy Futures Lab (EFL)
 
 
 
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Contact

 

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Location

 

Studio 1, Dyson BuildingDyson BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Spyrakos:2018:10.1115/1.4039394,
author = {Spyrakos, Papastavridis E and Dai, J and Childs, PRN and Tsagarakis, N},
doi = {10.1115/1.4039394},
journal = {Journal of Mechanisms and Robotics},
pages = {1--13},
title = {Selective-compliance based lagrange model and multilevel non-collocated feedback control of a humanoid robot},
url = {http://dx.doi.org/10.1115/1.4039394},
volume = {10},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper presents unified control schemes for compliant humanoid robots that are aimed at ensuring successful execution of both balancing tasks and walking trajectories for this class of bipeds, given the complexity of under-actuation. A set of controllers corresponding to the single support (SS) and double support (DS) walking phases has been designed based on the flexible sagittal joint dynamics of the system, accounting for both the motor and link states. The first controller uses partial state feedback (PDD), whereas the second considers the full state of the robot (PPDD), whilst both are mathematically proven to stabilize the closed-loop systems for regulation and trajectory tracking tasks. It is demonstrated mathematically that the PDD controller possesses better stability properties than the PPDD scheme for regulation tasks, even though the latter has the advantage of allowing for its associated gain-set to be generated by means of standard techniques, such as Linear Quadratic Regulator (LQR) control. A switching condition relating the Centre-of-Pressure (CoP) to the energy functions corresponding to the DS and SS models, has also been established. The theoretical results are corroborated by means of balancing and walking experiments using the COmpliant huMANoid (COMAN), whilst a practical comparison between the designed controller and a classical PD controller for compliant robots, has also been performed. Overall, and a key conclusion of this paper, the PPDD scheme has produced superior trajectory tracking performance, with 9%, 15% and 20% lower joint space error for the hip, knee and ankle respectively.
AU  - Spyrakos,Papastavridis E
AU  - Dai,J
AU  - Childs,PRN
AU  - Tsagarakis,N
DO  - 10.1115/1.4039394
EP  - 13
PY  - 2018///
SN  - 1942-4302
SP  - 1
TI  - Selective-compliance based lagrange model and multilevel non-collocated feedback control of a humanoid robot
T2  - Journal of Mechanisms and Robotics
UR  - http://dx.doi.org/10.1115/1.4039394
UR  - https://asmedigitalcollection.asme.org/mechanismsrobotics/article/10/3/031009/377436/Selective-Compliance-Based-Lagrange-Model-and
UR  - http://hdl.handle.net/10044/1/58357
VL  - 10
ER  -
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