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Gait Generation and Stabilization for Nearly Passive Dynamic Walking Using Auto‐distributed Impulses
Author(s) -
Moon JaeSung,
Stipanović Dušan M.,
Spong Mark W.
Publication year - 2016
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1206
Subject(s) - control theory (sociology) , gait , effect of gait parameters on energetic cost , robustness (evolution) , torque , limit cycle , moment of inertia , computer science , inverse dynamics , limit (mathematics) , kinematics , gait analysis , mathematics , control (management) , physical medicine and rehabilitation , physics , artificial intelligence , medicine , mathematical analysis , biochemistry , chemistry , quantum mechanics , gene , thermodynamics , classical mechanics
We propose a state feedback control design via linearization for flexible walking on flat ground. First, we generate nearly passive limit cycles, being stable or not, using impulsive toe‐off actuations. The term ‘nearly passive’ means that the dynamics is completely passive almost everywhere except at the toe‐off moment. A feature of our gait generation method is that walking gaits are characterized only by amounts of supplied energy, and we observe that other variables, including input torques, are auto‐balanced via our method. After gait generation, we design a feedback controller considering robustness and input saturation. As a result, each limit cycle can be matched with its respective controller classified only by energy levels. We have verified that walking speeds monotonically increase by adding more energy, and the ankle joint plays a significant role in compass‐gait walking. Finally, instead of applying impulsive torques, we discuss a practical issue regarding realistic control inputs that ensure stable gait transitions as energy levels are elevated.