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Instantaneous Capture Input for Balancing the Variable Height Inverted Pendulum

Junwei Liu, Hua Chen, Patrick M. Wensing, Wei Zhang

Year
2021
Citations
16

Abstract

Balancing is a fundamental need for legged robots due to their unstable floating-base nature. Balance control has been thoroughly studied for simple models such as the linear inverted pendulum thanks to the concept of the instantaneous capture point (ICP), yet the constant center of mass height assumption limits the application. This letter explores balancing of the variable-height inverted pendulum (VHIP) model by introducing the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">instantaneous capture input</i> (ICI), an extension of the ICP based on its key properties. Namely, the ICI can be computed as a function of the state, and when this function is used as the control policy, the ICI is rendered stationary and the system will eventually come to a stop. This characterization induces an analytical region of capturable states for the VHIP, which can be used to conceptually guide where to step. To further address state and control constraints during recovery, we present and theoretically analyze an explicit ICI-based controller with online optimal feedback gains. Simulations demonstrate the validity of our controller for capturability maintenance compared to an approach based on the divergent component of motion.

Keywords

Inverted pendulumController (irrigation)Control theory (sociology)Computer scienceFunction (biology)Variable (mathematics)State variableMathematicsControl (management)Artificial intelligence

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