A general numerical solution to optimal nonlinear stochastic structural control problem

Wei Song; Shirley J. Dyke

doi:10.1117/12.847717

Translator Disclaimer

1 April 2010 A general numerical solution to optimal nonlinear stochastic structural control problem

Wei Song, Shirley J. Dyke

Author Affiliations +

Proceedings Volume 7647, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010; 764740 (2010) https://doi.org/10.1117/12.847717
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2010, San Diego, California, United States

Abstract

Civil engineering structural systems exhibit hysteretic behavior when under extreme loading conditions as well as when energy dissipation devices are employed. To investigate the optimal control strategy for reducing the system response under random excitations (earthquakes, wind gust or sea waves), a general control solution is proposed in this paper. The approach considers the solution of the Hamilton-Jacobi-Bellman equation for general nonlinear stochastic systems, under the assumption that the evolution of the state of the stochastic system can be described by a Markov diffusion process. Several numerical examples are provided to verify the efficacy of the optimal control solution obtained from the proposed method. First, a linear oscillator is used to verify that the obtained solution is indeed the optimal solution by comparing it to the closed form solution. Then the proposed method is applied to several nonlinear systems including Van der Pol and Duffing oscillators and a Bouc-Wen system. In each case, optimality is demonstrated by comparing the system responses and costs under optimal control with the ones obtained using linearized optimal control.

Citation Download Citation

Wei Song and Shirley J. Dyke "A general numerical solution to optimal nonlinear stochastic structural control problem", Proc. SPIE 7647, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010, 764740 (1 April 2010); https://doi.org/10.1117/12.847717

ACCESS THE FULL ARTICLE