2021
DOI: 10.1002/rnc.5649
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Critical parameters for the robust stabilization of the inverted pendulum with reaction delay: State feedback versus predictor feedback

Abstract: The critical length that limits stabilizability for delayed proportionalderivative-acceleration (PDA) feedback and for predictor feedback (PF) is analyzed for the inverted pendulum paradigm. The aim of this work is to improve the understanding of human balancing tasks such as stick balancing on the fingertip, which can be modeled as a pendulum cart system. The relation between the critical length of the balanced stick and the reaction time delay in the presence of sensory uncertainties, which are modeled as st… Show more

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Cited by 8 publications
(5 citation statements)
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“…Kovacs and Insperger 19 studied the PID control of an inverted pendulum, which is intended for modeling human balancing task such as stick balancing on the fingertip. They analyzed a particular variant of PID control, that is, the delayed proportional–derivative–acceleration (PDA) feedback, together with predictor feedback control.…”
Section: Overview Of Articlesmentioning
confidence: 99%
“…Kovacs and Insperger 19 studied the PID control of an inverted pendulum, which is intended for modeling human balancing task such as stick balancing on the fingertip. They analyzed a particular variant of PID control, that is, the delayed proportional–derivative–acceleration (PDA) feedback, together with predictor feedback control.…”
Section: Overview Of Articlesmentioning
confidence: 99%
“…1 However, the challenge lies in utilizing finite-dimensional instantaneous state feedback to transfer these infinite poles to the left half-plane. A prevalent solution to this problem is the predictor-based scheme, where the predictor compensates for the time delay, and the controller is developed based on the resulting delay-free system to stabilize the system [2][3][4] and other related references.…”
Section: Introductionmentioning
confidence: 99%
“…In case of the Furuta pendulum, these effects are usually overlooked or considered to be negligible due to the low computational costs of the controllers based on few input and output signals in the presence of available high sampling rates. However, when the angle detection of the pendulum is based on noisy digital image processing, similarly to the human-delayed visual processing (Stepan 2009; Zhang et al, 2018; Kovacs and Insperger 2021), only low sampling rates can be achieved, and sampling delay may become critical especially in case of short pendulums. Similar difficulties are discussed and studied, when camera-based image processing is used for modal testing (Wang et al, 2022) or for lane-keeping of automated vehicles (Rossetter and Gerdes 2005; Talvala et al, 2011).…”
Section: Introductionmentioning
confidence: 99%