Typical examples of second order nonlinear dynamic systems

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SUMMARY

This discussion focuses on real-life examples of second order nonlinear dynamic systems, essential for modeling controllers. Key examples identified include the propeller pendulum and water tank/heating system. Additionally, the discussion highlights the dynamics of flames and chemical reactions, specifically referencing the Arrhenius reaction, which involves a second order derivative equation. The equation presented is d²T/dx² - dT/dx = A·e^(C·T), illustrating the complexity of these systems.

PREREQUISITES
  • Understanding of second order nonlinear dynamic systems
  • Familiarity with control system modeling techniques
  • Knowledge of chemical reaction dynamics, particularly Arrhenius reactions
  • Basic proficiency in differential equations
NEXT STEPS
  • Research the dynamics of the propeller pendulum as a nonlinear dynamic system
  • Explore modeling techniques for water tank and heating systems
  • Study the Arrhenius equation and its applications in chemical kinetics
  • Investigate numerical methods for solving nonlinear differential equations
USEFUL FOR

This discussion is beneficial for control system engineers, chemical engineers, and researchers interested in nonlinear dynamics and their applications in real-world systems.

Vitamin
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Hi guys,
after hours of searching internet I couldn't find much real-life examples of second order nonlinear dynamic systems (only tons of tons of equation and system theory... got totally frustrated). They will serve as a base process for modeling controllers.
So far I found propeller pendulum and water tank / heating system.
I need some more ideas. Thanks
 
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flames and chemical reactions: first order derivative is the diffusion of the flame, second order is the convection and nonlinear exponential term is the reaction source (Arrhenius reaction).
\frac{d^2T}{dx^2}- \frac{dT}{dx}= A\cdot e^{C \cdot T}

(edit: there is such an equation for all of the species in the reaction, and for the temperature, so these can be very large systems)
 

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