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3 results on '"Chuansen Yang"'

1. Nonvolatile transtance change random access memory based on magnetoelectric P(VDF-TrFE)/Metglas heterostructures.

Author

Peipei Lu, Dashan Shang, Jianxin Shen, Yisheng Chai, Chuansen Yang, Kun Zhai, Junzhuang Cong, Shipeng Shen, and Young Sun

Subjects
NONVOLATILE random-access memory, MAGNETOELECTRONICS, HETEROSTRUCTURES, MAGNETOELECTRIC effect, ELECTRIC fields
Abstract

Transtance change random access memory (TCRAM) is a type of nonvolatile memory based on the nonlinear magnetoelectric coupling effects of multiferroics. In this work, ferroelectric P(VDF-TrFE) thin films were prepared on Metglas foil substrates by the sol-gel technique to form multiferroic heterostructures. The magnetoelectric voltage coefficient of the heterostructure can be switched reproducibly to different levels between positive and negative values by applying selective electric-field pulses. Compared with bulk multiferroic heterostructures, the polarization switching voltage was reduced to 7V. Our facile technological approach enables this organic magnetoelectric heterostructure as a promising candidate for the applications in multilevel TCRAM devices. [ABSTRACT FROM AUTHOR]

Published
2016
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3. Lateral Flight Technical Error Estimation Model for Performance Based Navigation

Author

Hongsheng Zhao, Jun Zhang, Chuansen Yang, Sheng Hong, Xiaohao Xu, and Yanbo Zhu

Subjects
Engineering, flight technical error, business.industry, Mechanical Engineering, MIMO, Navigation system, Aerospace Engineering, Kalman filter, performance based navigation, Linear-quadratic-Gaussian control, air traffic management, Singular value, Control theory, Control system, Turbulence kinetic energy, Performance-based navigation, LQG/LTR, business, Kalman filters
Abstract

Flight technical error (FTE) combined with navigation system error (NSE) is the main part of total system error (TSE) in performance based navigation (PBN). The implementation of PBN requires pre-flight prediction and en-route short-term dynamical prediction of the TSE. Once the sum of predicted lateral FTE and NSE is greater than the specified PBN value, the PBN cannot operate. Thus, accurate modeling and thorough analysis of lateral FTE are indispensible. Multiple-input multiple-output (MIMO) lateral track control system of a transport aircraft is designed using linear quadratic Gaussian and loop transfer recovery (LQG/LTR) method, and the lateral FTE of a turbulence disturbed approach operation is analyzed. The error estimation mapping function of latera FTE and its bound estimation algorithm are proposed based on singular value theory. According to the forming mechanism of lateral FTE, the algorithm considers environmental turbulence fluctuation disturbance, aircraft dynamics and control system parameters. Real-data-based Monte-Carlo simulation validates the theoretical analysis of FTE. It also shows that FTE is mainly caused by turbulence fluctuation disturbance when automatic flight control system (AFCS) is engaged and would increase with escalating environmental turbulence intensity.

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