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RISS 인기검색어
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- 저자 : Yanxiong Li (검색결과 5 건)
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Estimating Key Speaker in Meeting Speech Based on Multiple Features Optimization
Wei Li Yanxiong Li,Qianhua He 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.4
This paper proposes to estimate key speaker in meeting speech based on multiple features optimization. First, each feature is defined and their differences between key speaker and other speakers are analyzed. Then, a decision function of multiple feature weighting is generated for estimating key speaker in meeting speech, and the genetic algorithm is used to optimize these coefficients of feature weighting. The methods are evaluated on three different meeting speech datasets. Experimental results show that the proposed optimization method obtains average accuracy of 93.3% for estimating key speaker, and gains average accuracy improvement by 9.7% and 4.1% compared with the previous method and the feature weighting method without optimization, respectively.
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Lei, Yanxiong,Du, Guiping,Zhang, Yuhan,Li, Tuhuan The Korean Institute of Power Electronics 2021 JOURNAL OF POWER ELECTRONICS Vol.21 No.6
Considering the spread spectrum problem of finite-control-set model predictive control (FCS-MPC), a fixed switching frequency strategy based on cost function reconstruction is proposed in this paper. It achieves a fixed switching frequency by selecting the optimal voltage vector through the redefined cost function. A frequency coefficient is added to this to change the selecting area of the optimal voltage vector. The proposed strategy reshapes the spectrum of the inductor current and focuses the harmonics near the switching frequency so that the design of the output LC filter is easier. Without adding any modulators or greatly increasing the number of computations, the proposed strategy reserves the excellent dynamic performance of the FCS-MPC and is convenient in terms of implementation. Finally, a 1 kW single-phase inverter is built and experiments are conducted. Experimental results demonstrate that the proposed control strategy realizes a fixed switching frequency. In addition, it has a comparative dynamic response speed and number of calculations when compared to dead-beat-based FCS-MPC. These features are beneficial to its application.
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Tuhuan Li,Guiping Du,Yanxiong Lei,Siqiang Chen 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.2
An open-end winding permanent magnet synchronous motor (OEW-PMSM) fed by dual inverters has good application value in the drive system of electric vehicles due to the motor’s advantages, such as high output power, wide speed range and excellent fault-tolerant ability. However, the symmetry of dual-inverter topology causes difficulty in identifying the specific faulty switch when an open-circuit fault occurs. Thus, this study proposes a switch open-circuit fault diagnosis strategy for OEW-PMSM based on finite-control-set model predictive control (FCS-MPC). With the known and unchanged switching state in each control period of FCS-MPC, the proposed strategy uses the predicted switching state to predict the phase voltage. According to the error of predicted voltage and measured voltage under switch failure, the faulty phase and faulty switch pair are identified. Finally, the relationship between switching states and error voltage is analyzed, and a diagnosis function is constructed to identify the specific faulty switch. The validity of the proposed diagnosis strategy is confirmed by the simulation and experimental results.
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Predictive charge control for LLC resonant converters
Siqiang Chen,Guiping Du,Yanxiong Lei,Tuhuan Li 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.5
A predictive charge control method based on an LLC resonant converter is proposed in this paper. The input charge in each cycle is reflected in the change of the resonant capacitor voltage. The threshold is set to compare it with the resonant capacitor voltage to control the input charge. Based on an LLC discrete predictive model, the predictive charge control predicts the threshold of the resonant capacitor voltage to regulate the output voltage. When compared with existing control methods, the predictive charge control has the advantages of an intuitive concept, a strong robustness, a simple implementation, and a simple model. It has excellent dynamic performance under various working conditions. The resonant tank can enter the steady state within one cycle without affecting the steady-state performance of the system. Through a mode analysis, this paper analyzes the proposed predictive charge control in detail. A 500 W LLC resonant converter prototype is built to verify the proposed method. Results show that both the output voltage and the resonant tank return to the steady state without fluctuations in one cycle during the processes of input voltage change and load switching.
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