Numerical stability analysis of nonlinear differential equations in engineering systems

Nonlinear differential equations describe the dynamic behaviours of many engineering systems, from mechanical oscillators with nonlinear springs to electrical circuits containing diodes. The safe and accurate simulation of such systems requires understanding both the qualitative stability of equilibrium solutions and the numerical stability of discretization schemes. This paper focuses on a mathematical stability analysis of a damped nonlinear pendulum, a canonical example in mechanical engineering. Challenges arise from the nonlinearity of the governing equations, the presence of multiple equilibrium points and the sensitivity of numerical solutions to step size. The proposed methodology involves deriving equilibrium points, linearizing the system, computing eigenvalues of the Jacobian to assess local stability, and analyzing the stability regions of numerical integration schemes. Results show how damping influences the eigenvalues and thus the asymptotic behaviours of the pendulum, and how explicit time stepping methods impose strict step size restrictions for stable simulation. Outcomes demonstrate that proper selection of integration schemes and parameters ensures accurate long term predictions of nonlinear dynamics.

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Publication Details

Journal
Journal of Interdisciplinary Mathematics
Published
2025-01-01
DOI
https://doi.org/10.47974/jim-2367
Primary Topic
Numerical methods for differential equations
Type
article
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article

Numerical stability analysis of nonlinear differential equations in engineering systems

Kumari Shipra, Sandip D. Kulkarni, Satyawan L. Dhondge, Urmila Kadam et al.
Journal of Interdisciplinary Mathematics
Numerical methods for differential equations
article

Numerical stability analysis of nonlinear differential equations in engineering systems

Kumari Shipra, Sandip D. Kulkarni, Satyawan L. Dhondge, Urmila Kadam, Deepak Kumar Paswan, Bhavana Chandramani Julme
article en

Abstract

Nonlinear differential equations describe the dynamic behaviours of many engineering systems, from mechanical oscillators with nonlinear springs to electrical circuits containing diodes. The safe and accurate simulation of such systems requires understanding both the qualitative stability of equilibrium solutions and the numerical stability of discretization schemes. This paper focuses on a mathematical stability analysis of a damped nonlinear pendulum, a canonical example in mechanical engineering. Challenges arise from the nonlinearity of the governing equations, the presence of multiple equilibrium points and the sensitivity of numerical solutions to step size. The proposed methodology involves deriving equilibrium points, linearizing the system, computing eigenvalues of the Jacobian to assess local stability, and analyzing the stability regions of numerical integration schemes. Results show how damping influences the eigenvalues and thus the asymptotic behaviours of the pendulum, and how explicit time stepping methods impose strict step size restrictions for stable simulation. Outcomes demonstrate that proper selection of integration schemes and parameters ensures accurate long term predictions of nonlinear dynamics.

Journal of Interdisciplinary MathematicsVol. 28(6)
Openalex Percentile: Top 61%
Numerical methods for differential equations
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