Integrated Multiobjective Optimal Design for Active Control System Based on Genetic Algorithm
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-14
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The integrated multiobjective optimal design method for structural active control system is put forward based on improved Pareto multiobjective genetic algorithm, through which the position of actuator is synchronously optimized with active controller.
External excitation is simulated by stationary filtered white noise.
The root-mean-square (RMS) of structural response and active control force can be achieved by solving Lyapunov equation in the state space.
The design of active controller adopts linear quadratic regulator (LQR) control algorithm.
Minimum ratio of the maximum RMS of controlled structural displacement divided by the maximum RMS of uncontrolled structural displacement and minimum ratio of the maximum RMS of controlled structural shear divided by the maximum RMS of uncontrolled structural shear, together with minimization of the sum of RMS of active control force, are used as the three objective functions of multiobjective optimization.
The optimization process takes the impact of structure and excitation parameter on the optimized results.
An eight-storey six-span plane steel frame was used as an emulational example to demonstrate the validity of this optimization method.
Results show that the proposed integrated multiobjective optimal design method is simple, efficient, and practical with good universality.
American Psychological Association (APA)
Yong-Quan, Ma& Hong-Xing, Qiu. 2014. Integrated Multiobjective Optimal Design for Active Control System Based on Genetic Algorithm. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-495558
Modern Language Association (MLA)
Yong-Quan, Ma& Hong-Xing, Qiu. Integrated Multiobjective Optimal Design for Active Control System Based on Genetic Algorithm. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-495558
American Medical Association (AMA)
Yong-Quan, Ma& Hong-Xing, Qiu. Integrated Multiobjective Optimal Design for Active Control System Based on Genetic Algorithm. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-495558
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495558