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Dive into the research topics where Qing Hu is active.

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Featured researches published by Qing Hu.


intelligent systems design and applications | 2006

Position Control of Linear Servo System Using Intelligent Feedback Controller

Dongmei Yu; Qingding Guo; Qing Hu

This paper presents a new position tracking control strategy that meets the position tracking performance and the closed loop robustness to external disturbance and model parameters variations without parameter identification. In order to achieve the desired input-output tracking and disturbance rejection performance independently, a two-degree-of-freedom (2DOF) internal model control (IMC) is introduced in controller structure. Furthermore, based on fuzzy logic, the parameter of the feedback controller is adjusted on-line to improve robustness. The simulation results on a direct-drive permanent magnet linear synchronous motor (PMLSM) show that proposed method is effective on improving system robustness


fuzzy systems and knowledge discovery | 2009

Adaptive Fuzzy Sliding Mode Controller for Linear Elevator Using Permanent Magnet Linear Synchronous Motor

Qing Hu; Hongxia Li; Hiayan Yu; Xin Zhang

In order to improve the tracking and robust performances of a linear elevator driving by permanent magnet linear synchronous motor (PMLSM), a stable adaptive fuzzy sliding mode controller (AFSMC) for a linear motor speed loop control is presented, The fuzzy system is applied to approximate the unknown nonlinear function of plant, and then the estimation value of nonlinear function is used to design the control variable. Analysis of simulations reveals that proposed method is robust in the presence of uncertainties and bounded external disturbances.


world congress on intelligent control and automation | 2006

Position Synchronized Control of Dual Linear Motors Servo System Using Fuzzy Logic

Dongmei Yu; Qingding Guo; Qing Hu; Jiang Lili

This paper presents a position synchronized controller for dual linear motors servo system in gantry moving type milling machining centers. To guarantee the requirement for high accuracy in synchronous tracking, the same position feedback controller is used to single linear motor position servo axis independently. The acceleration feedforward control and electrical cross-coupled control algorithms based on fuzzy logic are applied to dual linear motor position servo axes to counteract the influence of mechanical coupling rapidly, and then meet dynamic synchronized performance in machining. The simulation results show that the proposed control methods are effective and yield superior performance


fuzzy systems and knowledge discovery | 2010

Fuzzy PID nonlinear control of maglev guiding system for linear elevator based in feedback linearization

Qing Hu; Hao Liu; Lisheng Ou

In this paper, linear elevator driven by permanent magnet synchronous linear motor (PMLSM) is used in fuzzy PID control method, in which it is to adopt the magnetic guidance system to control the PMLSM gap which changed frequently, and it can impact the vertical thrust and control the level vibration and noise in the process of start, operation, and stop to make passenger comfortable. Matlab modeling of this system is used in this paper. Simulation results show the effectiveness of the control strategy.


international conference on innovative computing, information and control | 2006

Synchronized Control of Dual Linear Motors Position Servo System Based on Fuzzy Self-Learning Compensation

Dongmei Yu; Qingding Guo; Qing Hu

This paper introduces the position synchronized control strategy that meets position tracking performance and the closed loop robustness to external disturbance in dual linear motors servo system. In order to achieve the desired dynamic synchronized performance for dual position servo axes in machining, the same position feedback controller is used to single linear motor position servo axis independently, and an electrical cross-coupled control algorithms based on fuzzy self-learning are applied to dual linear motor position servo system. The simulation results show that proposed method is effective on improving synchronized performance


fuzzy systems and knowledge discovery | 2010

Fuzzy sliding mode control of maglev guiding system based on feedback linearization

Dongmei Yu; Hao Liu; Qing Hu

The magnetic levitation device which has non-contact characteristics, is used to replace the traditional guiding equipment, it would be applied in linear elevator to maintain a constant air gap of linear motor, and to eliminate mechanical vibration. In order to solve nonlinear problems of maglev device, feedback linearization control and fuzzy sliding mode control method is adopted to control the air gap of magnetic levitation device. Simulation results show that the control strategy has strong robustness.


fuzzy systems and knowledge discovery | 2009

Robust T-S Model Fuzzy Control of High-rise Roped Elevator System Based on LMIs

Dongmei Yu; Qing Hu; Yonghong Mu

The vertical motion of roped elevator was described. The robust control problem of high rise elevator system based on Takagi-Sugeno (T-S) fuzzy model was studied. T-S fuzzy model was used to solve multi objective control and nonlinear control problems in elevator motion control system. First, the generalized model of system was built, and then system global state controller was designed by parallel-distributed compensation (PDC) method. Second, state feedback robust controller was gained based on linear matrix inequality (LMI) method. The simpleness and effectiveness of the controller were showed by the simulation, and the robustness was satisfied for the system. Multiobjective control and nonlinear control problems have been solved effectively.


world congress on intelligent control and automation | 2006

H ∞ Robust Control of Vertical Motion in Ultra-High Rise a High Speed Elevators Using LMIs

Qing Hu; Qingding Guo; Dongmei Yu; Jiang Lili

This paper presents the design of vertical motion control systems for ultrahigh rise/high speed elevator. We use a linear model to describe the real elevator system, and then utilize LMIs processing method to generate a Hinfin controller which is designed based on this model and both performance objectives, tracking and releveling. Additionally, the controller design must be robust to changes in system parameters due to component wear, variations in the dynamics of the elevator ropes. After that, simulation studies are carried out to evaluate the performance of the controller. Simulation results have shown that the performance of this controller is also robust to the anticipated range of parameter uncertainty within the system


world congress on intelligent control and automation | 2006

A Novel Adaptive Control of Elevator Motion System

Qing Hu; Qingding Guo; Dongmei Yu; Jiang Lili

This paper discusses the design of the elevator vertical motion control system. The requirements on elevator motion control are the comfort, the precise relevelling and the realization of shortest flight time. Starting jerks, parameter variation and disturbances cause an uncomfortable run. Considering these problems mentioned above, an adaptive controller is proposed in this paper. In the adaptive controller, an observer and a disturbance rejection control are designed. Besides this, the parameters of the linearized system are identified, thus allowing the observer coefficients and the gain values to be adapted, hence the effects of parameter variation and uncertainty can be reduced. The simulations of the proposed adaptive controllers s are made. The results show that the robustness of the adaptive controller is superior, and the convergence of the adaptive controller is better


international conference on electrical machines and systems | 2005

H ∞ Robust Tracking of Vertical Motions in High-Rise Elevator

Qing Hu; Qingding Guo; Dongmei Yu; Hong Miao

This paper presents the design of vertical motion control systems for ultra-high rise/high speed elevator. We use a linear model to describe the real elevator system, and then utilize LMIs processing method to generate a Hinfin controller which is designed based on this model and both performance objectives, tracking and releveling. Additionally, the controller design must be robust to changes in system parameters due to component wear, variations in the dynamics of the elevator ropes. After that, simulation studies are carried out to evaluate the performance of the controller. Simulation results have shown that the performance of this controller is also robust to the anticipated range of parameter uncertainty within the system

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Dongmei Yu

Shenyang University of Technology

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Qingding Guo

Shenyang University of Technology

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Jiang Lili

Shenyang University of Technology

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Hao Liu

Shenyang University of Technology

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Haiyan Yu

Shenyang University of Technology

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Hiayan Yu

Shenyang University of Technology

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Hong Miao

Shenyang University of Technology

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Hongxia Li

Shenyang University of Technology

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Xin Zhang

Shenyang University of Technology

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