Abstract
This paper presents the synthesis of an active control system using a modified particle swarm optimization method. The system’s controller design is analyzed as a minimalization of the building stories’ acceleration. The proposed fitness function is computationally efficient and incorporates the constraints on the system’s stability and the maximum output of actuators. In order to handle the constraints the PSO was modified to take into account the particles’ distance to the best and the worst solutions. The performance of the obtained controller was tested using historical earthquake records. The performed numerical simulations proved that the designed controller is capable of efficient vibrations reduction.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Clerc, M., Kennedy, J.: The particle swarm - explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation 6(1), 58–73 (2002)
Gaing, Z.L.: A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Transaction on Energy Conversion 19(2), 384–391 (2004)
He, Q., Wang, L.: An effective co-evolutionary particle swarm optimization for constrained engineering design problems. Engineering Applications of Artificial Intelligence 20, 89–99 (2007)
Hu, X., Eberhart, R. C.: Solving constrained nonlinear optimization problems with particle swarm optimization. In: Proceedings of the sixth world multiconference on systemics, cybernetics and informatics 2002 (2002)
Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948 (1995)
Lewandowski, R.: A survey of modern methods of vibration reduction of building structures. Vibrations in Physical Systems 22, 37–48 (2006)
Parsopoulos, K.E., Vrahatis, M.: Particle swarm method for constrained optimization problems. In: Proceedings of the Euro-international symposium on computational intelligence (2002)
Qiao, W., Venayagamoorthy, G., Harley, R.: Design of optimal PI controllers for doubly fed induction generators driven by wind turbines using particle swarm optimization. In: Proceedings of 2006 International Joint Conference on Neural Networks, pp. 1982–1987 (2006)
Sedlaczek, K., Eberhard, P.: Using augmented lagrangian particle swarm optimization for constrained problems in engineering. Struct. Multidisc. Optim. 32, 277–286 (2006)
Sun, T.Y., Huang, C.S., Tsai, S.J.: Particle swarm optimizer based controller design for vehicle navigation system. In: IEEE International Conference on Systems, Man and Cybernetics, pp. 909–914 (2008)
Wang, J., Brackett, B., Harley, R.: Particle swarm-assisted state feedback control: From pole selection to state estimation. In: 2009 American Control Conference, pp. 1493–1498 (2009)
Wang, Y., Cai, Z.: A hybrid multi-swarm particle swarm optimization to solve constrained optimization problems. Front. Comp. Sci. China 3(1), 38–52 (2009)
Yao, J.T.P.: Concept of structural control. ASCE J. Struct. Div. 98, 1567–1575 (1972)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Schmidt, A. (2010). The Design of an Active Structural Vibration Reduction System Using a Modified Particle Swarm Optimization. In: Dorigo, M., et al. Swarm Intelligence. ANTS 2010. Lecture Notes in Computer Science, vol 6234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15461-4_55
Download citation
DOI: https://doi.org/10.1007/978-3-642-15461-4_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15460-7
Online ISBN: 978-3-642-15461-4
eBook Packages: Computer ScienceComputer Science (R0)