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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 102
PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by:
Paper 43
Synchronization of Chaotic Compliant Ocean Systems using a Genetic Algorithm based Backstepping Approach R. Manikandan and N. Saha
Department of Ocean Engineering
R. Manikandan, N. Saha, "Synchronization of Chaotic Compliant Ocean Systems using a Genetic Algorithm based Backstepping Approach", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 43, 2013. doi:10.4203/ccp.102.43
Keywords: chaos, compliant offshore systems, Lyapunov stability, Krasovskii-LaSalle principle, genetic algorithm, Duffing equation.
Summary
In this paper, a new geometrical theory based control scheme with nontraditional optimization
algorithm is used to achieve the chaos harmonization for compliant offshore
systems. It is known that the compliant offshore structures are usually located in a
severe environment. The behavior of the compliant offshore systems is usually modeled
by nonlinear oscillators. These structures experience chaotic responses due to
internal nonlinear restoring and damping forces and external wave excitations. The
performance of these structures is dependent on the motions being in a state of order
and within operational limits. To achieve the same, a recursive back stepping control
mechanism is proposed for controlling the compliant systems. Using the Lyapunov
stability theory, two additional functionals of displacement and velocity are introduced
to achieve the desired output. Each of these functionals have two (depending upon the
order of the system) controlling parameters that are linked with the damping and frequencies
of the offshore structure. The parameters are obtained using the genetic algorithm
(GA) and the Krasovskii-LaSalle principle. The Krasovskii-LaSalle principle
provides positive parameter values essential for global convergence in the algorithm.
The optimal value of these parameters is ensured using the GA which is based on
the evolutionary algorithms that minimizes the objective function. The performance
of the controller is compared with classical design based on the Krasovskii-LaSalle
principle. The performance of the GA based back stepping control strategy is illustrated
using a nonlinear Duffing equation. The results show that controller was able
to restrict the undesirable chaotic behaviour and also provide means of shaping the
transient performance.
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