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Dive into the research topics where Zhu Liangkuan is active.

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Featured researches published by Zhu Liangkuan.


Mathematical Problems in Engineering | 2016

Compound Control Strategy for MDF Continuous Hot Pressing Electrohydraulic Servo System with Uncertainties and Input Saturation

Zhu Liangkuan; Wang Zibo; Liu Yaqiu

A compound control strategy is investigated for Medium Density Fiberboard (MDF) continuous hot pressing electrohydraulic servo system (EHSS) with uncertainties and input saturation. Firstly, a hyperbolic tangent function is applied to approximate saturation nonlinearity in the system. And thus the mathematical model is continuous and differentiable. Subsequently, the slab thickness tracking controller is constructed by using a dynamic surface control (DSC) method, which introduces first-order low-pass filters to calculate derivatives of virtual control input in each step. Compared with the conventional backstepping controller, complexity of the design procedure is alleviated obviously. Moreover, a composite disturbance of uncertainties and input saturation is estimated by a nonlinear disturbance observer for compensation of the control law. Finally, an appropriate Lyapunov function is chosen to prove that all signals of the closed-loop system are semiglobally uniformly ultimately bounded and the tracking error converges to zero asymptotically. Numerical simulation results are also exhibited to authenticate and validate the benefits of the proposed control scheme.


international conference on mechatronics and control | 2014

Adaptive backstepping sliding mode control of MDF hot press hydraulic system based on fuzzy disturbance observer

Zhu Liangkuan; Shao Xiao-dong; Liu Yaqiu; Cao Jun

In order to realize high-precision position tracking control for (Medium Density Fiberboard, MDF) continuous hot press hydraulic position servo system in the presence of interior parameter perturbations and external load disturbance, an adaptive backstepping sliding mode control strategy with fuzzy disturbance observer (FDO) is presented. Firstly, a modified FDO is designed to estimate and compensate the interior parameter perturbations and external load disturbance of the system. Secondly, the backstepping sliding mode controller is designed and adaptive algorithm is used to online estimate the uncertainty of the system. Thirdly, the convergence of tracking error and the asymptotic stability of system are strictly proved according to Lyapunov stability theory. The results of simulation experiments indicate that the controller has strong robustness against the interior parameter perturbations and external load disturbance. Moreover, the controller has good performance including fast response, high tracking accuracy and small steady-state error.


chinese control conference | 2015

Performance analysis of MEMS gyro and improvement using Kalman filter

Guo Yanning; Han Fei; Du Shaohe; Ma Guangfu; Zhu Liangkuan


Archive | 2016

Rotatable formula plant viewing device

Li Kexin; Chi Haotian; Song Wenlong; Zhu Liangkuan; Jia Jia


Archive | 2016

A error recognition device for continuous concora crush control system that troops

Wu Qu; Liu Yaqiu; Zhang Yong; Wang Kun; Li Qingfa; Zhao Qinghua; Chen Yujia; Ma Xiaozhen; Zhu Liangkuan; Jing Weipeng


Archive | 2016

Measuring device for thickness of artificial board and measuring method

Zhu Liangkuan; Xie Bing; Liu Yaqiu; Wang Kun; Li Dongchen; Wang Zibo; Wang Peiyu


Archive | 2016

Remote forest tree leaf area index monitoring device and measurement method thereof

Zhu Liangkuan; Shen Desheng; Dong Xu; Song Wenlong; Huang Jianping; Liu Yaqiu; Song Jiayin; Shao Sixie


Archive | 2016

Forest leaf area index remote monitoring device

Zhu Liangkuan; Dong Xu; Shen Desheng; Song Wenlong; Song Jiayin; Liu Yaqiu; Huang Jianping; Shao Sixie


Journal of Zhejiang University Science C | 2016

森林樹冠全天写真における境界分析に基づくセグメンテーションとフォーカス・ポイント位置【Powered by NICT】

Song Jiayin; Song Wenlong; Huang Jianping; Zhu Liangkuan


Dongbei Linye Daxue Xuebao | 2016

MDF Continuous Hot Pressing Plank Thickness Dynamic Surface Control By RBF Neural Network

Zhu Liangkuan; Wang Zibo; Liu Yaqiu

Collaboration


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Liu Yaqiu

Northeast Forestry University

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Song Wenlong

Northeast Forestry University

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Jing Weipeng

Northeast Forestry University

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Wu Qu

Northeast Forestry University

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Cao Jun

Northeast Forestry University

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Li Kexin

Northeast Forestry University

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Zhang Xue

Northeast Forestry University

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Du Shaohe

Harbin Institute of Technology

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Guo Yanning

Harbin Institute of Technology

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Han Fei

Harbin Institute of Technology

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