The reduced space shooting method for calculating the peak periodic solutions of nonlinear systems

Haitao Liao*, Wenwang Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

A hybrid approach which combines the reduced sequential quadratic programing (SQP) method with the shooting method is proposed to search the worst resonance response of nonlinear systems. The shooting method is first employed to construct the nonlinear equality constraints for the constrained optimization problem. Then, the complex optimization problem is simplified and solved numerically by the reduced SQP method. By virtue of the coordinate basis decomposition scheme which exploits the gradients of nonlinear equality constraints, the nonlinear equality constraints are eliminated, resulting in a simple optimization problem subject to bound constraints. Moreover, the second-order correction (SOC) technique is adopted to overcome Maratos effect. The novelty of the approach described lies in the capability to efficiently handle nonlinear equality constraints. The effectiveness of the proposed algorithm is demonstrated by two benchmark examples seen in the literature.

Original languageEnglish
Article number061001
JournalJournal of Computational and Nonlinear Dynamics
Volume13
Issue number6
DOIs
Publication statusPublished - Jun 2018

Keywords

  • Maratos effect
  • Periodic solution
  • Reduced SQP method
  • Shooting method
  • Worst case resonance

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