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

19 May 2005 Applications of neuro PID adaptive controller based on RBF neural networks identifier for structural control

Zhiqiang Gu, S. Olutunde Oyadiji

Author Affiliations +

Proceedings Volume 5757, Smart Structures and Materials 2005: Modeling, Signal Processing, and Control; (2005) https://doi.org/10.1117/12.600942
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2005, San Diego, California, United States

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.

Citation Download Citation

Zhiqiang Gu and S. Olutunde Oyadiji "Applications of neuro PID adaptive controller based on RBF neural networks identifier for structural control", Proc. SPIE 5757, Smart Structures and Materials 2005: Modeling, Signal Processing, and Control, (19 May 2005); https://doi.org/10.1117/12.600942

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