scholarly journals Frequency Splitting and Transmission Characteristics of MCR-WPT System Considering Non-Linearities of Compensation Capacitors

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 141
Author(s):  
Jun Liu ◽  
Chang Wang ◽  
Xiaofeng Wang ◽  
Weimin Ge

The frequency splitting phenomenon and transmission characteristics have been research hotspots in the field of magnetically coupled resonance wireless power transfer (MCR-WPT). In this paper, non-linear dynamics theory was innovatively introduced into the research, and non-linear coupled transmission dynamics modelling of the MCR-WPT system was established considering the non-linearities of the compensation capacitor. The mechanism of the frequency splitting phenomenon of the MCR-WPT system was revealed through systematic mathematical analyses based on the modelling. The analysis results showed that the system usually has dual natural frequencies which are low resonance frequency and high resonance frequency. Based on non-linear dynamics theory, the transmission characteristics of the system with different non-linear parameters were discussed comprehensively in relation to the modelling. The results of the numerical simulations and theoretical analyses showed that non-linear parameters can cause the jumping phenomena with the output responses, and the output responses in the vicinities of the lower resonance frequencies were extremely sensitive to changes in the coupling coefficient. According to analyses of the linear and non-linear systems, the energy transmissions performed in the vicinity of the high resonance frequency had a wider working frequency band and a better transmission stability under non-linear conditions.


2011 ◽  
Vol 308-310 ◽  
pp. 1349-1352 ◽  
Author(s):  
Xue Liang Huang ◽  
Lin Lin Tan ◽  
Hui Li ◽  
Hao Qiang

In this paper, a magnetic resonance coupled wireless power transfer system(MRCWPTS) with series capacitor compensation is studied in order to investigate resonance frequency, and then the system transfer model is presented. Research results show that system resonance frequency is likely to occur splitting and maybe appear two or three resonance frequencies(odd /even mode resonance frequency and nature resonance frequency) in close distance under small load, which increases the system instable, and makes the system difficult to control in resonance frequency. By analyzing of the system, the distance boundary condition when resonance frequency splitting is given, under this boundary the system avoid resonance frequency splitting well, then simulation and experiment results verify the theoretical analysis.



2020 ◽  
Vol 14 ◽  
Author(s):  
Fred Shaffer ◽  
Zachary M. Meehan

Heart rate variability (HRV) represents fluctuations in the time intervals between successive heartbeats, which are termed interbeat intervals. HRV is an emergent property of complex cardiac-brain interactions and non-linear autonomic nervous system (ANS) processes. A healthy heart is not a metronome because it exhibits complex non-linear oscillations characterized by mathematical chaos. HRV biofeedback displays both heart rate and frequently, respiration, to individuals who can then adjust their physiology to improve affective, cognitive, and cardiovascular functioning. The central premise of the HRV biofeedback resonance frequency model is that the adult cardiorespiratory system has a fixed resonance frequency. Stimulation at rates near the resonance frequency produces large-amplitude blood pressure oscillations that can increase baroreflex sensitivity over time. The authors explain the rationale for the resonance frequency model and provide detailed instructions on how to monitor and assess the resonance frequency. They caution that patterns of physiological change must be compared across several breathing rates to evaluate candidate resonance frequencies. They describe how to fine-tune the resonance frequency following an initial assessment. Furthermore, the authors critically assess the minimum epochs required to measure key HRV indices, resonance frequency test-retest reliability, and whether rhythmic skeletal muscle tension can replace slow paced breathing in resonance frequency assessment.





1996 ◽  
Vol 79 (12) ◽  
pp. 8914-8916
Author(s):  
Jianyao Chen ◽  
Roman Maciejko ◽  
Toshihiko Makino


Author(s):  
Fuat Kilic ◽  
Serkan Sezen ◽  
Seyit Ahmet Sis

One of the major challenges in inductive wireless power transfer (WPT) systems is that the optimal frequency of operation may shift predominantly due to coupling variation as a result of  so-called frequency splitting phenomenon. When frequency splitting occurs, two additional resonance frequencies split from the coupler’s resonance frequency. Maximum power levels are observed at these split resonance frequencies; however, these frequencies are strongly-dependent on the coupling coefficient, hence the distance and alignment between the couplers. In addition to that, peak power values at these frequencies can be different from each other due to small impedance differences between the primary and secondary side resonant couplers, forming a local and a global maximum. Therefore, the WPT system should adaptively operate at the correct frequency for achieving maximum power transfer. In this paper, a metaheuristic Particle Swarm Optimization (PSO) based frequency tracking algorithm is proposed for use in WPT systems. The WPT system employs multi sub-coil flux pipe couplers, a full-bridge inverter which is driven by TMS320F28069 controller card and is suitable for high power charging applications. The control algorithm can accurately find the global maximum power point in case of frequency splitting with asymmetric peaks.   The proposed frequency tracking algorithm operates only at the primary side based on measurement of the input power level. Therefore, no additional communication link is needed between the primary and the secondary side. Effectiveness of the proposed control method is validated by performing experiments under three different misalignment scenarios and compared to the traditional Perturb and Observe algorithm.



2008 ◽  
Vol 92 (24) ◽  
pp. 243119 ◽  
Author(s):  
Takeshi Fukuma ◽  
Yasutaka Okazaki ◽  
Noriyuki Kodera ◽  
Takayuki Uchihashi ◽  
Toshio Ando


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