Comprehensive comparisons between frequency‐domain analysis and time‐domain analysis for LLC resonant converter

Wei, Yuqi; Luo, Quanming; Mantooth, Alan

doi:10.1049/iet-pel.2019.0831

Cited by 19 publications

(4 citation statements)

References 24 publications

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“…Based on the Euler-Bernoulli beam theory, the governing equations of the system are derived [10]. Wei et al concluded that based on the robust control method, the vibration control problem of a piezoelectric smart beam structure was analyzed [11]. erefore, the author proposes to use the TMDI system to control the vibration electricity of the beam structure under the action of seismic acceleration and moving force, respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of the Lagrange Equation for Intelligent Sensor Vibration Control for Power Network Monitoring

Cheng

2022

International Transactions on Electrical Energy Systems

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Objective. In order to control the vibration of the beam structure more effectively and improve the safety and availability of the beam structure, an application study of the Lagrange equation for vibration control of smart sensors for power grid monitoring is proposed. The vibration of the beam structure, the displacement of the beam structure under the excitation of seismic acceleration, the response analytical electrical formula, and the displacement response formula of the beam structure under the action of the kinematic force are deduced. The optimal parameters of the beam-TMDI system are given, and the parameter sensitivity analysis is carried out. Then, the control effect of the TMDI system is studied by numerical analysis, and the vibration reduction effect of the TMDI system and the tuned mass damper (TMD) system is compared. Experimental results show that when the mass ratio μ of the TMDI system and the TMD system are both set to a fixed value of 0.005, and the parameter β of the TMDI system is set to 0, namely β = b = 0 , at this time, the TMDI system degenerates into a TMD system. The TMD natural frequency is 14.179 rad/s and the damping ratio is 0.0432 by the DH optimization method, while the TMD natural frequency is 14.1812 rad/s, and the damping ratio is 0.0436 by the augmented Lagrangian optimization algorithm. Conclusion. The vibration displacement response spectrum of a beam structure obtained by the frequency domain method can effectively reflect electricity in the displacement response of a beam structure. The parameters that minimize the vibration response of the beam structure can be accurately obtained by using the augmented Lagrangian parameter optimization method. The sensitivity of the TMDI system is controlled by the inertial device, and the inertial device has a significant impact on its robustness. The vibration reduction performance of the TMDI system is obviously better than in the conventional TMD systems.

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Section: Literature Reviewmentioning

confidence: 99%

Application of the Lagrange Equation for Intelligent Sensor Vibration Control for Power Network Monitoring

Cheng

2022

International Transactions on Electrical Energy Systems

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“…The spatial-timedomain period analysis of audio coded signals is mainly considered to have two important research aspects: one part is the spatial-time-domain period analysis, that is, the various time-domain period waveforms of different audio coded signals are used as custom variables to study various differences [8]. Comprehensive analysis, the basic principle of which is to use Fourier transform through frequency modulation to decompose all audio signals that need to be collected at the same time to form a series of orthogonal cosine spectrum components of different signal frequencies for superimposition [9]. The literature analyzes the characteristics of wireless sensor networks and their application elds and wide range of applications through research and analysis, discusses the deployment and coverage of wireless sensor networks, as well as the problems in the construction of sensor networks, and the deployment and coverage of sensor networks [10].…”

Section: Related Workmentioning

confidence: 99%

Virtual audio design based on mobile sensor network and English MOOC teaching

Wang

2023

Int J Syst Assur Eng Manag

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The continuous emergence of virtual reality also makes people think about vigorously developing digital audio and scienti c image technology. The volume return and audio playback of 3D audio in VR usually directly use binaural reconstruction methods. At present, more 3D audio reconstruction techniques have actually been applied in VR, mainly including human-based binaural audio system reconstruction analysis. Technology and audio reconstruction of related transfer functions. This paper clearly proposes a precise network deployment design algorithm based on mobile wireless audio signal sensors based on network virtualization capabilities, and clearly proposes the basic concept of "relay node clusters", using the current ubiquitous relays in Internet audio networks The network phenomenon of the clusters of nodes connecting to each other builds up such a network path from the source relay node to the virtualized audio sensor node. A comparative analysis experiment with similar types of algorithms shows that the characteristic of this algorithm is that it has obvious advantages in the average position movement of nodes and the energy expenditure of each node in the network. In addition, this article also applies sensor networks to the teaching of English MOOCs, conducts preliminary investigations on the learning problems of English MOOCs, and establishes learning goals, selects learning resources, learning modes, and interactive communication platforms based on the results of the questionnaire survey. , Design the classroom teaching process. According to the mobile sensor network, MOOC resources and " ipped classroom" are integrated with each other to implement a hybrid classroom teaching. Mobile sensor networks provide new ideas for virtual audio design and English MOOC teaching.

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“…Unfortunately, the effect of resonant current on ZVS is ignored. In [19], frequency domain analysis and time domain analysis are used as a comparison to design LLC. The realization of ZVS is based on the fact that the resonant current lags behind the resonant network input voltage.…”

Section: Ac/dc (Pfc)mentioning

confidence: 99%

“…But in boost region, the magnetizing inductor current no longer changes linearly. Thus, the calculation of the critical current in [18,19], [21] and [23] can not be used to judge the soft switching situation.…”

Section: Ac/dc (Pfc)mentioning

confidence: 99%

Design Method of 6-Element Boundary Gain for LLC Resonant Converter of Electric Vehicle

et al. 2020

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In the application of on-board chargers, LLC resonant converters need to work in multiple operating modes to achieve wide-range output requirements. For the most commonly used single-phase and three-phase LLC topologies, the time domain expressions of all possible operating modes are introduced to predict voltage and current behaviors. Based on the mode analysis, the 6-element boundary gain design method is proposed to design a wide gain range LLC resonant converter. The resonant current is used as the basis for ZVS judgment and the transformation trend of ZVS in the full operating range is given. Through reasonable distribution of the boost region and the buck region, the resonant devices can be designed more appropriately to achieve lower conduction loss and higher efficiency. Finally, the prototypes of 3.3kW and 6.6 kW are built to verify the theoretical analysis of the method in single-phase LLC and three-phase LLC. INDEX TERMS LLC resonant converter, Zero-voltage switching, wide range output, battery charger, electric vehicle.

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Comprehensive comparisons between frequency‐domain analysis and time‐domain analysis for LLC resonant converter

Cited by 19 publications

References 24 publications

Application of the Lagrange Equation for Intelligent Sensor Vibration Control for Power Network Monitoring

Application of the Lagrange Equation for Intelligent Sensor Vibration Control for Power Network Monitoring

Virtual audio design based on mobile sensor network and English MOOC teaching

Design Method of 6-Element Boundary Gain for LLC Resonant Converter of Electric Vehicle

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