Yu-Long Cui

Hebei University of Technology, Ho-pei-ts’un, Beijing, China

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Publications (6)0 Total impact

  • Chao-Ying Liu, Yu-Long Cui
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    ABSTRACT: In this paper, a new type fuzzy controller with CMAC-based self-tuning parameters is proposed. By using the proposed method, the parameters of a fuzzy controller can be tuned online, and the control performance can be improved. In addition, CMAC is used only for tuning grain parameters, so that it is easy to implement and other fuzzy parameters can be designed by conventional method. The paper has already proposed a fuzzy controller with nonlinear scaling functions and controller designing method based on the relationship between the parameters of fuzzy controller and system performance. The proposed method is an extended version of the previously proposed method mentioned above to the fuzzy controller with nonlinear scaling factors, a tuning method of parameters using CMAC. The proposed control scheme is numerically evaluated on some simulations.
    Machine Learning and Cybernetics, 2003 International Conference on; 12/2003
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    ABSTRACT: In this paper, the system structure of switched reluctance motor drive is studied. On the basis of knowledge about mid-speed motor and its converter, some profound research for designing and implementing has been made. Lastly, the speed controller with TMS320C240 as core controller is designed. The results provided in this paper show that with the designed controller SRM can operate in mid-speed with good performance.
    Machine Learning and Cybernetics, 2003 International Conference on; 12/2003
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    ABSTRACT: In this paper, a novel method of sensorless rotor position angle estimation based on the knowledge of motor model and the relation of Ψ-I-θ is developed on using fuzzy logic based motor model. Due to electromagnetic interference and measurement error, there are more errors in result. In order to improve the precision of the method, a predictive module is added in system. Through comparing predicted value with estimated value, more accurate value is gotten in test. The result shows that, with improved estimation system, rotor position angle can be accurately estimated in different regions, including startup, low-speed and mid-speed region.
    Machine Learning and Cybernetics, 2003 International Conference on; 12/2003
  • Yu-Long Cui, Jiao-Min Liu, Xue-Chuan Hou
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    ABSTRACT: In this paper, some research about sensorless rotor position angle estimation of SRM and a novel power converter are provided. According to requirement of drive performance of electric vehicles (EV'S), a control solution for an 8/6,3 kW SRM used in EV'S with TMS320C32 DSP as controller is reported. The results show improvement in operating conditions, including startup and low-speed. Additionally, speed can arrive 4000 rpm with stable characterization. So the demand of general electric vehicles has been satisfied.
    Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on; 11/2003
  • Jiao-Min Liu, Hui Sun, Yu-Long Cui
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    ABSTRACT: This paper provides a new method, which uses binocular 3D vision technology to extract the depth information of the electro-eroded contact of electrical apparatus, rebuilds the 3D image and then makes comprehensive analysis and processing to the surface appearance photograph and peak to valley profile.
    Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on; 12/2002
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    ABSTRACT: A method of sensorless rotor position angle estimation for switched reluctance motor drives (SRDs) is developed based on using a fuzzy logic based motor model. The real-time experimental results given show that this method can overcome the drawbacks of previous sensorless techniques. In addition, a digital signal processor is used as the control unit in this scheme to lessen the effects due to error.
    Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on; 02/2002