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Experimental real-time SDRE control of an underactuated robot

Authors: Ervin B. Erdem; Andrew G. Alleyne;

Experimental real-time SDRE control of an underactuated robot

Abstract

In this paper, State-Dependent Riccati Equation (SDRE) nonlinear control is used to regulate the Pendubot, a two-link underactuated robot developed at UIUC, at one of its unstable equilibrium positions. The plant is not fully feedback linearizable due to weakly nonminimum phase zero-dynamics. However, this does not present a problem for SDRE control. Presented results show that SDRE control outperforms LQR control even when the same design parameters are used. The real-time experiments are implemented using a specialized 60 MHz digital signal processor running customized code for SDRE control computation, which involves solving the Algebraic Riccati Equation online. For this highly nonlinear 4-state system, the implementation was successful at a sampling time sufficient for the particular electromechanical plant. To the authors' best knowledge, this is the first work in which SDRE control is implemented on a physical plant in realtime, where the SDRE control is repeatedly computed online.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Average
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