Applications of neuro PID adaptive controller based on RBF neural networks identifier for structural control

Zhiqiang Gu; S. Olutunde Oyadiji

doi:10.1117/12.600942

Applications of neuro PID adaptive controller based on RBF neural networks identifier for structural control

Zhiqiang Gu, S. Olutunde Oyadiji

Mechanical and Aerospace Engineering

Research output: Chapter in Book/Conference proceeding › Conference contribution

Abstract

Because the disturbances which govern the dynamical response of a structure cannot be precisely measured, and the system itself has many uncertainties, the development of control strategies that are implementable and that can accommodate uncertainties and imprecision are becoming a critical and challenging work. PID adaptive controller based on RBF Neural Networks Identifier is developed for structural control in this paper. The combined controller includes PID neural network controller and an identifier based on RBF neural networks. It was implemented on linear single degree of freedom system representation of structures subjected to external disturbances based on the El Centro (1940), Hachinohe (1988), Kobe (1995) and Northridge (1994) earthquake loadings. It is demonstrated that the neuro PID adaptive control method can effectively suppress the vibration of structures.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering\|Proc SPIE Int Soc Opt Eng
Editors	R.C. Smith
Pages	451-458
Number of pages	7
Volume	5757
DOIs	https://doi.org/10.1117/12.600942
Publication status	Published - 2005
Event	Smart Structures and Materials 2005 - Modeling, Signal Processing, and Control - San Diego, CA Duration: 1 Jul 2005 → …

Conference

Conference	Smart Structures and Materials 2005 - Modeling, Signal Processing, and Control
City	San Diego, CA
Period	1/07/05 → …

Keywords

Active control
Adaptive control
Earthquake loading
Hybrid control
Neuro PID adaptive controller
PID control
RBF neural networks
Structural control

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10.1117/12.600942

Cite this

@inproceedings{148684c2b4974a0f90c1548cef5870e0,

title = "Applications of neuro PID adaptive controller based on RBF neural networks identifier for structural control",

abstract = "Because the disturbances which govern the dynamical response of a structure cannot be precisely measured, and the system itself has many uncertainties, the development of control strategies that are implementable and that can accommodate uncertainties and imprecision are becoming a critical and challenging work. PID adaptive controller based on RBF Neural Networks Identifier is developed for structural control in this paper. The combined controller includes PID neural network controller and an identifier based on RBF neural networks. It was implemented on linear single degree of freedom system representation of structures subjected to external disturbances based on the El Centro (1940), Hachinohe (1988), Kobe (1995) and Northridge (1994) earthquake loadings. It is demonstrated that the neuro PID adaptive control method can effectively suppress the vibration of structures.",

keywords = "Active control, Adaptive control, Earthquake loading, Hybrid control, Neuro PID adaptive controller, PID control, RBF neural networks, Structural control",

author = "Zhiqiang Gu and Oyadiji, {S. Olutunde}",

year = "2005",

doi = "10.1117/12.600942",

language = "English",

volume = "5757",

pages = "451--458",

editor = "R.C. Smith",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering|Proc SPIE Int Soc Opt Eng",

note = "Smart Structures and Materials 2005 - Modeling, Signal Processing, and Control ; Conference date: 01-07-2005",

}

Gu, Z & Oyadiji, SO 2005, Applications of neuro PID adaptive controller based on RBF neural networks identifier for structural control. in RC Smith (ed.), Proceedings of SPIE - The International Society for Optical Engineering|Proc SPIE Int Soc Opt Eng. vol. 5757, pp. 451-458, Smart Structures and Materials 2005 - Modeling, Signal Processing, and Control, San Diego, CA, 1/07/05. https://doi.org/10.1117/12.600942

Applications of neuro PID adaptive controller based on RBF neural networks identifier for structural control. / Gu, Zhiqiang; Oyadiji, S. Olutunde.
Proceedings of SPIE - The International Society for Optical Engineering|Proc SPIE Int Soc Opt Eng. ed. / R.C. Smith. Vol. 5757 2005. p. 451-458.

Research output: Chapter in Book/Conference proceeding › Conference contribution

TY - GEN

T1 - Applications of neuro PID adaptive controller based on RBF neural networks identifier for structural control

AU - Gu, Zhiqiang

AU - Oyadiji, S. Olutunde

PY - 2005

Y1 - 2005

N2 - Because the disturbances which govern the dynamical response of a structure cannot be precisely measured, and the system itself has many uncertainties, the development of control strategies that are implementable and that can accommodate uncertainties and imprecision are becoming a critical and challenging work. PID adaptive controller based on RBF Neural Networks Identifier is developed for structural control in this paper. The combined controller includes PID neural network controller and an identifier based on RBF neural networks. It was implemented on linear single degree of freedom system representation of structures subjected to external disturbances based on the El Centro (1940), Hachinohe (1988), Kobe (1995) and Northridge (1994) earthquake loadings. It is demonstrated that the neuro PID adaptive control method can effectively suppress the vibration of structures.

AB - Because the disturbances which govern the dynamical response of a structure cannot be precisely measured, and the system itself has many uncertainties, the development of control strategies that are implementable and that can accommodate uncertainties and imprecision are becoming a critical and challenging work. PID adaptive controller based on RBF Neural Networks Identifier is developed for structural control in this paper. The combined controller includes PID neural network controller and an identifier based on RBF neural networks. It was implemented on linear single degree of freedom system representation of structures subjected to external disturbances based on the El Centro (1940), Hachinohe (1988), Kobe (1995) and Northridge (1994) earthquake loadings. It is demonstrated that the neuro PID adaptive control method can effectively suppress the vibration of structures.

KW - Active control

KW - Adaptive control

KW - Earthquake loading

KW - Hybrid control

KW - Neuro PID adaptive controller

KW - PID control

KW - RBF neural networks

KW - Structural control

U2 - 10.1117/12.600942

DO - 10.1117/12.600942

M3 - Conference contribution

VL - 5757

SP - 451

EP - 458

BT - Proceedings of SPIE - The International Society for Optical Engineering|Proc SPIE Int Soc Opt Eng

A2 - Smith, R.C.

T2 - Smart Structures and Materials 2005 - Modeling, Signal Processing, and Control

Y2 - 1 July 2005

ER -

Applications of neuro PID adaptive controller based on RBF neural networks identifier for structural control

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Keywords

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