Xiying Ding

Shenyang University of Technology, Feng-t’ien, Liaoning, China

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Publications (9)2.26 Total impact

  • Yan Hu · Jinzhe Chen · Xiying Ding
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    ABSTRACT: A finite element method, coupled field-circuit, is applied to design a solid rotor induction motor in this paper. And a model coupled with field-circuits has been set up for considering the velocity effect, eddy current effect and non-linear property. A new end-region coefficient is presented to correct the effect of end region. It makes designed results of the motor more accurate. The method makes the period of design short and saves hardware from computing three-dimensional non-linear model. The comparison between tested and computed results proves that the method has higher accuracy and validity.
    No preview · Article · Jul 2010 · IEEE Transactions on Applied Superconductivity
  • Xiying Ding · Jian Wang · Shuping Yang
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    ABSTRACT: The endpoint temperature and carbon content of molten steel cannot be measured timely or accurately due to the extremely high temperature in BOF, so it is very important to establish an accurate predictive model for them. Steelmaking process is a very complex nonlinear process, and therefore it is very difficult to build up an accurate math model for it.The precision of traditional models based on oxygen balance and thermal equilibrium theory or based on reproducibility theory is low, and hit rate for prediction is low too. In this paper, the method that combines neural network technique with traditional modeling technology is adopted to build up static and dynamic models for steelmaking process. On this basis, presetting model is modified by using neural network technique to implement optimal setting control for steelmaking endpoint.
    No preview · Conference Paper · Nov 2009
  • Xiying Ding · Zhe Wang · Cixiu Zhang · Qing Hu
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    ABSTRACT: Considering the mathematical model for the control system of intermediate bending roll in UC rolling mill is time-varying and uncertain, the conventional PID algorithm can't achieve a rapid and accurate response when some parameters change, so that the precision of the sheet shape can't be easily ensured. To realize the accurate control for the intermediate bending roll, a fuzzy neural network controller is designed and applied in the loop control system of the intermediate bending roll. The genetic algorithm is used for the optimization search in the process of network training, and then the BP network is adopted to get a high precision solution. The simulation result shows that compares to conventional BP algorithm in the network training, the fuzzy neural network controller proposes in this paper can achieve rapid response, small ultra regulation and a better robustness against model uncertainty.
    No preview · Article · Jan 2009
  • Xiying Ding · Shuping Yang · Shupiu Gong · Huiping Zhai
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    ABSTRACT: The intermittent type reaction still inertia is big, lags is in a big way, time-variable is slow, when switching between refrigeration and heating, the misalignment is serious, the traditional PID control to be very difficult to satisfy the performance requirement. Therefore this article is based on the recursion least squares method and the generalized predictive control principle, has designed a set of simple practical control system, on the Kingview platform of Beijing Wellincontrol, uses the traditional PID control in the heating-up period; during 60-70°C the refrigeration heating switching step, uses the generalized predictive control, solves the vibration which the serious misalignment brings. The experimental result indicated that compares with the traditional PID control plan, this one strengthened system's robustness and the compatibility, the system vibration reduced largely.
    No preview · Article · Jan 2009
  • Xiying Ding · Qiang Liu · Xiaona Ma · Xiaoran He · Qing Hu
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    ABSTRACT: In the paper, voltage space vector modulation technology is used for fuzzy direct torque control of AC induction motor with fuzzy stator resistance estimator, which can weaken the ripple of torque and flux of fuzzy direct torque control system, therefore the control system get swifter response velocity, stronger robustness and higher precision of velocity control. The computer simulated results verify the validity of this novel method.
    No preview · Conference Paper · Sep 2007
  • Haiyan Yu · Qing Hu · Xiying Ding
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    ABSTRACT: The mathematical model of control system with PWM rectifier is deducted at first. In order to achieve anticipated wave of voltage and current and improved system dynamics, a novel compound control scheme for PWM rectifier with fuzzy sliding mode variable structure control is presented, which integrates advantages of sliding mode variable structure control and fuzzy control. It makes that PWM rectifier not only has excellent robustness of variable structure control, but also minimizes chatting. The simulation results show that fuzzy sliding mode variable structure control for PWM rectifier is rather simple, and the PWM rectifier can be adaptive to load disturbance or nonlinear variety by the novel control strategy. Furthermore, good dynamic and static performance is indicated in the system.
    No preview · Conference Paper · Sep 2007
  • Hu Qing · Qingding Guo · Dongmei Yu · Xiying Ding
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    ABSTRACT: In this paper a strategy of grading fuzzy sliding mode control (FSMC) applied in the AC servo system is presented. It combines the fuzzy logic and the method of sliding mode control, which can reduce the chattering without decreasing the system robustness. At the same time, the exponent approaching control is added by grading. The control strategy makes the response of the system quick and no overshoot. It is simulated to demonstrate the feasible of the proposed method by MATLAB6.5 and the good control effect is received.
    No preview · Conference Paper · Aug 2005
  • Conference Paper: H
    Hu Qing · Qingding Guo · Dongmei Yu · Xiying Ding

    No preview · Conference Paper · Jan 2005
  • Hu Qing · Qingding Guo · Dongmei Yu · Xiying Ding
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    ABSTRACT: A LMIs (linear matrix inequalities) based H  ∞  robust fuzzy control approach to an ultra-high rise/high speed elevator in the presence of uncertainties is presented in this paper. The uncertain nonlinear systems are represented using Takage-Sugeno (T-S) fuzzy models. The proposed controllers, which are in the form of the so-called parallel distributed compensation (PDC), stabilize nonlinear systems and guarantee an induced L 2 norm bound constraint on disturbance attenuation for all admissible uncertainties. Finally, simulation results show the realization of the H  ∞ robust fuzzy control.
    No preview · Chapter · Jan 1970

Publication Stats

21 Citations
2.26 Total Impact Points

Institutions

  • 1970-2010
    • Shenyang University of Technology
      Feng-t’ien, Liaoning, China
  • 2009
    • School of Mechanical and Electrical Engineering
      Ciudad de México, Mexico City, Mexico