Neuropredictive control and trajectory generation for slung load systems

Gerardo de La Torre; Eric N. Johnson; Tansel Yucelen

Neuropredictive control and trajectory generation for slung load systems

Gerardo de La Torre, Eric N. Johnson, Tansel Yucelen

Aerospace Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

This paper presents a neuropredictive trajectory generation architecture for slung load systems. The presented architecture integrates the real-time trajectory generation method with a system uncertainty identifying neural network. It is shown that the effect of system uncertainty on a model predictive control approach can be mitigated by the use of neural networks. A numerical example of an uncertain slung load system is shown to demonstrate the effectiveness of the presented framework.

Original language	English (US)
State	Published - Sep 16 2013
Event	AIAA Infotech at Aerospace (I at A) Conference - Boston, MA, United States Duration: Aug 19 2013 → Aug 22 2013

Other

Other	AIAA Infotech at Aerospace (I at A) Conference
Country/Territory	United States
City	Boston, MA
Period	8/19/13 → 8/22/13

All Science Journal Classification (ASJC) codes

Aerospace Engineering

Cite this

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title = "Neuropredictive control and trajectory generation for slung load systems",

abstract = "This paper presents a neuropredictive trajectory generation architecture for slung load systems. The presented architecture integrates the real-time trajectory generation method with a system uncertainty identifying neural network. It is shown that the effect of system uncertainty on a model predictive control approach can be mitigated by the use of neural networks. A numerical example of an uncertain slung load system is shown to demonstrate the effectiveness of the presented framework.",

author = "{de La Torre}, Gerardo and Johnson, {Eric N.} and Tansel Yucelen",

year = "2013",

month = sep,

day = "16",

language = "English (US)",

note = "AIAA Infotech at Aerospace (I at A) Conference ; Conference date: 19-08-2013 Through 22-08-2013",

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TY - CONF

T1 - Neuropredictive control and trajectory generation for slung load systems

AU - de La Torre, Gerardo

AU - Johnson, Eric N.

AU - Yucelen, Tansel

PY - 2013/9/16

Y1 - 2013/9/16

N2 - This paper presents a neuropredictive trajectory generation architecture for slung load systems. The presented architecture integrates the real-time trajectory generation method with a system uncertainty identifying neural network. It is shown that the effect of system uncertainty on a model predictive control approach can be mitigated by the use of neural networks. A numerical example of an uncertain slung load system is shown to demonstrate the effectiveness of the presented framework.

AB - This paper presents a neuropredictive trajectory generation architecture for slung load systems. The presented architecture integrates the real-time trajectory generation method with a system uncertainty identifying neural network. It is shown that the effect of system uncertainty on a model predictive control approach can be mitigated by the use of neural networks. A numerical example of an uncertain slung load system is shown to demonstrate the effectiveness of the presented framework.

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UR - http://www.scopus.com/inward/citedby.url?scp=84883739138&partnerID=8YFLogxK

M3 - Paper

T2 - AIAA Infotech at Aerospace (I at A) Conference

Y2 - 19 August 2013 through 22 August 2013

ER -

Neuropredictive control and trajectory generation for slung load systems

Abstract

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All Science Journal Classification (ASJC) codes

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