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18 results on '"Wang, Fujie"'

6. Calculation of Stator Natural Frequencies of Electrical Machines Considering Complex Boundary Conditions.

Author

Xing, Zezhi, Wang, Xiuhe, Zhao, Wenliang, and Wang, Fujie

Subjects
SIMPLE machines, CYLINDRICAL shells, FINITE element method, SHEAR (Mechanics), ORTHOGONAL polynomials, MOMENTS of inertia, STATORS, ORTHOGONALIZATION
Abstract

The accurate calculation of the natural frequencies of the stator is an important prerequisite for predicting and improving electromagnetic vibration in electrical machines. In this article, the stator core and the enclosure are regarded as cylindrical shells with axial ribs attached inside and outside the shells, respectively. Considering the moment of inertia and the shear deformation of the cylindrical shell, the displacement functions of the mid-surface in cylindrical shell are expressed as a superposition of orthogonal polynomials, the natural frequencies including axial, and circumferential modal shapes under different boundary conditions are obtained by combining the energy method and the Gram–Schmidt orthogonalization method, and the accuracy of the calculation results is verified by the finite element method and modal test. Considering the orthogonality of the stator material and specific slot structure, the natural frequencies of the stator including the stator core, windings, and enclosure are accurately obtained, the actual constraints of the end covers on the enclosure are accurately simulated by the simply supported boundary conditions. [ABSTRACT FROM AUTHOR]

Published
2022
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12. Hybrid Stochastic LDPC Decoder With Fully Correlated Stochastic Computation.

Author

Hu, Shuai, Han, Kaining, Wang, Fujie, and Hu, Jianhao

Subjects
LOW density parity check codes, BINARY sequences, ITERATIVE decoding
Abstract

The ultra-low hardware consumption feature of stochastic decoding has made it a potential candidate for the implementation of low-density parity-check(LDPC) decoders. However, the existing stochastic LDPC decoders still suffer from performance degradation and relatively high decoding cycles caused by the correlation among stochastic bit streams. In this paper, we propose Hybrid Stochastic(HS) decoding, which achieves high performance, high throughput, and high hardware efficiency by jointly using our proposed novel stochastic check node(CN) and Two’s Complement(TCS) variable node(VN) to realize Min-Sum Algorithm(MSA) and its enhancements. Fully correlated stochastic bit streams are used to entirely eliminate the indeterminacy caused by the correlation, which results in high performance and fast convergence and inherits the low complexity of stochastic decoders at the same time. We demonstrate the HS decoding by designing a (2048,1723) decoder in a 65 nm process, which achieves the highest Bit-Error-Ratio(BER) performance, highest throughput, and top hardware efficiency among existing stochastic LDPC decoders. We also demonstrate that HS decoding can achieve excellent decoding performance for different code rates and lengths 5G New Radio(NR) LDPC codes. Thus, HS decoding can be adopted in wide applications. [ABSTRACT FROM AUTHOR]

Published
2022
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18. Adaptive Visual Tracking Control for Manipulator With Actuator Fuzzy Dead-Zone Constraint and Unmodeled Dynamic.

Author

Liu, Zhi, Wang, Fujie, and Zhang, Yun

Subjects
*FUZZY algorithms, *EULER method, *LYAPUNOV functions
Abstract

This paper focuses on a problem of adaptive visual tracking control for an uncalibrated image-based visual servoing manipulator system with actuator fuzzy dead-zone constrain and unknown dynamic. Without a prior knowledge of the system, fuzzy logic systems are employed to approximate the unmodeled nonlinear manipulator dynamics and external disturbances. By using the recursive Newton–Euler method, the total number of fuzzy rules can be reduced significantly as compared with the traditional fuzzy logic system. By defuzzifying the fuzzy slope \tilde k of the fuzzy dead-zone model to a deterministic value \bar k , a novel fuzzy adaptive controller is constructed to eliminate the harmful effect of fuzzy dead-zone constrain. Lyapunov functions are presented for stability analysis of visual feedback control problem with unknown dynamics and actuator fuzzy dead-zone constrains. Experimental results are carried out to test the visual tracking performance of the proposed controller and the boundedness of the closed-loop system. [ABSTRACT FROM AUTHOR]

Published
2015
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