Realizing Torque Controllers for Underactuated Bipedal Walking Using the Ideal Model Resolved Motion Method

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dc.contributorAmes, Aaron D
dc.creatorCousineau, Eric Andrew
dc.date.accessioned2016-12-01T06:36:15Z
dc.date.accessioned2017-04-07T20:15:24Z
dc.date.available2016-12-01T06:36:15Z
dc.date.available2017-04-07T20:15:24Z
dc.date.created2014-12
dc.date.issued2014-12-16
dc.description.abstractThis thesis presents an application of hybrid zero dynamics to realize underactuated bipedal walking on DURUS, a testbed designed and built by SRI International. The main contribution of this work is the ideal model resolved motion method (IMRMM), which is a simple method to convert ideal torque controllers to PD controllers to implement on hardware. Walking was first achieved using the proven method of the hybrid zero dynamics (HZD) reconstruction, followed by the Input-Output Feedback Linearization (IO) and Rapidly Exponentially Stabilizing Control Lyapunov Function Quadratic Programs (CLF-QPs) torque controllers implemented via IMRMM. The simulation and experimental results are presented and compared, and the best resulting specific cost of electrical transport on hardware was computed as 0.63 for the CLF-QP IM-RMM controller, and the record for walking was achieved on a separate occasion with the same CLF-QP IM-RMM controller, which yielded walking for 2 hours and 53 minutes, covering 7 km.
dc.identifier.urihttp://hdl.handle.net/1969.1/154096
dc.language.isoen
dc.subjectUnderactuated
dc.subjectBipedal
dc.subjectWalking
dc.subjectLocomotion
dc.subjectRobotics
dc.subjectHumanoid
dc.subjectIdeal Model
dc.subjectResolved Motion Method
dc.subjectHybrid Zero Dynamics
dc.subjectHybrid Systems
dc.subjectControl
dc.subjectNonlinear Control
dc.subjectAutonomous Walking
dc.subjectHuman-Inspired Framework
dc.titleRealizing Torque Controllers for Underactuated Bipedal Walking Using the Ideal Model Resolved Motion Method
dc.typeThesis

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Texas A&M University at College Station