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Dive into the research topics where Zhang Hongmei is active.

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Featured researches published by Zhang Hongmei.


chinese control conference | 2006

The Mathematical Model of A Novel Linear Actuator and its Control Strategy

Zhang Qingxin; Zhang Hongmei; Wang Fengxiang

The magnetically controlled shape memory alloy (MSMA) is a new type of functional materials, which has large strain and high efficiency of electromechanical energy conversion. In this paper, the work principle of the MSMA linear actuator is introduced, and based on the analysis and design on magnetic circuit and winding, the dynamic model of MSMA actuator and the simulating curves are given. After the control system is designed, the MSMA actuator prototype is proposed. The experimental results verify the models validity and practicability of MSMA in intelligent system.


chinese control conference | 2008

On a novel self-sensing actuator

Zhang Qingxin; Zhang Hongmei; Li Yibo; Zhang Jing

The magnetically controlled shape memory alloy is a new type of shape memory alloy, which alters its magnetization and the surrounding magnetic field when the material is subjected to mechanical straining. With the characteristics, a novel self-sensing actuator scheme was proposed. Based on the analysis of the operation principle, the magnetic circuit modeling was established, and the relationship between induced voltage and speed was studied. The self-sensing actuator prototype and the experimental results were given. The results demonstrate that the induced voltage value reaches 46 V when the MSMA material is mechanically compressed. Relating to the geometrical and material parameters of the MSMA actuator, the induced voltage is proportional to the speed. The research provides the theoretic and experimental basis for the application of MSMA in intelligent systems.


chinese control conference | 2006

Chaotic Synchronization of Exponent Stability by Nonlinear FeedbackBased on the Bounded Property

Chen Mingjie; Wang Changhong; Zhang Hongmei

Exponent stability is considered as a higher level of stability than asymptotic stability. To realize chaotic synchronization with better synchronization capability, a theory of exponent stability was introduced to the research of chaotic synchronization, and an approach of chaotic synchronization with exponent stability of the synchronization error system was discussed. On the premise that the states of the aim chaotic system were observable, an approach of exponent stability by nonlinear feedback control based on the bounded property of the tracks was proposed for the chaotic synchronization, which made the chaotic synchronization errors satisfy exponent stability, and realized the chaotic synchronization in according to exponent stability. That is to say, the capability of chaotic synchronization was improved, while the chaotic systems arrived at the chaotic synchronization. Theory analysis and simulation results had proved the feasibility and validity of the approach. When applied in the fields of chaotic secure communication and others, the prospect will be perfect.


Archive | 2013

Longitudinal movement attitude control device for catamaran

Liu Sheng; Su Xu; Yang Dan; Wang Yuchao; Bai Lifei; Zhao Kaiqi; Zhang Hongmei


Archive | 2014

Shipborne video image stabilization method based on ship motion posture prediction

Fu Huixuan; Wang Yuchao; Zhang Hongmei; Zheng Xiuli; Chen Mingjie; Liu Hongdan; Zhao Kaiqi; Chen Yongxin


chinese control conference | 2013

The vertical motion state estimation of hydrofoil catamaran based on improved UKF

Liu Sheng; Yang Dan; Su Xu; Zhang Hongmei


chinese control conference | 2018

Ultrasonic Echo Tracking Based on Improved Newton Iteration

Zhang Hongmei; Chen Mingjie; Sun Xiwei; Feng Naizhang


Archive | 2017

Film mulching planting method capable of recycling residue film easily without seedling putting

Zhang Zhongdong; Guo Zhengyu; Gong Shuai; Chen Yongxin; Li Xiaofeng; Zhang Hongmei


Archive | 2017

Locking means is fixed to jack

Chi Yuhua; Zhang Hongmei; Li Xiaofeng; Yang Dazhi; Cai Xin; Gong Jiangwei


chinese control conference | 2015

Ship rolling motion prediction based on extreme learning machine

Fu Huixuan; Wang Yuchao; Zhang Hongmei

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Chen Mingjie

Harbin Institute of Technology

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Wang Yuchao

Harbin Engineering University

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Fu Huixuan

Harbin Engineering University

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Liu Sheng

Harbin Engineering University

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Su Xu

Harbin Engineering University

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Yang Dan

Harbin Engineering University

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Zhang Qingxin

Shenyang University of Technology

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Zheng Xiuli

Harbin Engineering University

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Sun Xiwei

Harbin Engineering University

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