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Time delay induced stochastic dynamics in a strongly nonlinear energy harvesting system
Yanxia Zhang1, Shaoyi Shi1, Yanfei Jin2
1School of Sciences, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China.
Time delays significantly impact nonlinear energy harvesting systems, even at small values. An extended stochastic averaging method reveals how time delays and feedback control influence system dynamics and performance.
Area of Science:
- Nonlinear dynamics
- Energy harvesting systems
- Stochastic processes
Background:
- Practical energy harvesting systems exhibit complex dynamics due to time delays, environmental noise, and inherent nonlinearities.
- Existing theoretical methods struggle to accurately model these complex, time-delayed stochastic systems.
- New analytical approaches are needed to understand and optimize system performance under realistic conditions.
Purpose of the Study:
- To investigate the stochastic dynamics of a strongly nonlinear energy harvesting system with time delay.
- To develop and apply an extended stochastic averaging method for analyzing time-delayed systems.
- To determine the influence of time delay parameters on system response and mean output power.
Main Methods:
- An extended stochastic averaging method of energy envelope was developed.
- Analytical expressions for stationary probability density and mean output power were derived.
- Monte Carlo numerical simulations were used for verification.
Main Results:
- Time delays, even small ones, significantly affect the dynamic characteristics of energy harvesting systems.
- Both time-delayed feedback gain and the delay duration influence system performance.
- Appropriate time-delayed feedback control can substantially enhance system performance.
Conclusions:
- The extended stochastic averaging method effectively analyzes time-delayed nonlinear systems.
- Time delays are critical factors in energy harvesting system design and performance.
- Optimizing time-delayed feedback control is a promising strategy for improving energy harvesting efficiency.
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