中国物理B ›› 2024, Vol. 33 ›› Issue (6): 60203-060203.doi: 10.1088/1674-1056/ad3b89
Performance enhancement of a viscoelastic bistable energy harvester using time-delayed feedback control
Mei-Ling Huang(黄美玲)1, Yong-Ge Yang(杨勇歌)1,2,†, and Yang Liu(刘洋)3
- 1 School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou 510520, China;
2 State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an 710049, China;
3 Exeter Small-Scale Robotics Laboratory, Engineering Department, University of Exeter, North Park Road, Exeter EX4 4QF, UK
Performance enhancement of a viscoelastic bistable energy harvester using time-delayed feedback control
Mei-Ling Huang(黄美玲)1, Yong-Ge Yang(杨勇歌)1,2,†, and Yang Liu(刘洋)3
- 1 School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou 510520, China;
2 State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an 710049, China;
3 Exeter Small-Scale Robotics Laboratory, Engineering Department, University of Exeter, North Park Road, Exeter EX4 4QF, UK
摘要： This paper focuses on the stochastic analysis of a viscoelastic bistable energy harvesting system under colored noise and harmonic excitation, and adopts the time-delayed feedback control to improve its harvesting efficiency. Firstly, to obtain the dimensionless governing equation of the system, the original bistable system is approximated as a system without viscoelastic term by using the stochastic averaging method of energy envelope, and then is further decoupled to derive an equivalent system. The credibility of the proposed method is validated by contrasting the consistency between the numerical and the analytical results of the equivalent system under different noise conditions. The influence of system parameters on average output power is analyzed, and the control effect of the time-delayed feedback control on system performance is compared. The output performance of the system is improved with the occurrence of stochastic resonance (SR). Therefore, the signal-to-noise ratio expression for measuring SR is derived, and the dependence of its SR behavior on different parameters is explored.
中图分类号: (Probability theory, stochastic processes, and statistics)
- 02.50.-r