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Periodica Polytechnica Electrical Engineering and Computer Science
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2064-5260 - ISSN (Online) 2064-5279
Published by Budapest University of Technology and Economics Homepage  [7 journals]
  • Improved Modified DTC-SVM Methods for Increasing the Overload-capability
           of Permanent Magnet Synchronous Motor Servo- and Robot Drives – Part 1

    • Authors: Tibor Vajsz, László Számel
      Pages: 65 - 73
      Abstract: Direct torque control with space vector modulation (DTC-SVM) is one of the most popular methods in the case of permanent magnet synchronous motor drives due to its excellent torque-control capabilities. This method facilitates a very high torque-control dynamic performance which is an especially important requirement in the field of servo- and robotic applications, thus making DTC-SVM a natural choice in these cases. In this article a novel Improved Modified DTC-SVM (IMDTC-SVM) method is presented and it is proven that this method has a very high overload-capability and is stable during overload-conditions, while the torque-control dynamics and the torque-ripple generated are practically identical with those of the classical DTC-SVM and the MDTC-SVM.
      PubDate: 2018-05-25
      DOI: 10.3311/PPee.11744
      Issue No: Vol. 62, No. 3 (2018)
       
  • Improved Modified DTC-SVM Methods for Increasing the Overload-capability
           of Permanent Magnet Synchronous Motor Servo- and Robot Drives – Part 2

    • Authors: Tibor Vajsz, László Számel
      Pages: 74 - 81
      Abstract: Direct torque control with space vector modulation (DTC-SVM) is one of the most popular methods in the case of permanent magnet synchronous motor drives due to its excellent torque-control capabilities. This method facilitates a very high torque-control dynamic performance which is an especially important requirement in the field of servo- and robotic applications, thus making DTC-SVM a natural choice in these cases. In this article simplified forms of the Improved Modified DTC-SVM (IMDTC-SVM) method that has been introduced in Part 1 are presented and it is proven that these methods have a very high overload-capability as well, they are stable during overload-conditions, while the torque-control dynamics and the torque-ripple generated are practically identical with those of the classical DTC-SVM, the MDTC-SVM and the standard IMDTC-SVM. Although the simplified forms have a somewhat lower overload-capability than that of the standard IMDTC-SVM, they have a significantly simpler structure, they require much less computation and the tuning of the complete control system is in one case much simpler.
      PubDate: 2018-05-25
      DOI: 10.3311/PPee.11762
      Issue No: Vol. 62, No. 3 (2018)
       
  • Capacity Planning of Electric Car Charging Station Based on Discrete Time
           Observations and MAP(2)/G/c Queue

    • Authors: Csaba Farkas, Miklós Telek
      Pages: 82 - 89
      Abstract: The modeling of electric car charging stations is essential for determining the required number of chargers in order to ensure the required service quality. In this paper we propose a new estimation method for the stochastic modeling of electric car charging stations, based on Markov arrival process (MAP).
      The input of the proposed model is empirical data for the arrival and service process of electric cars, given as histograms: the number of arriving cars during a fixed time slot (5 minutes in our case) and the histogram of service times (in 5 minutes granularity). The fact that observations on the continuous time process of car charging are available in discrete time steps poses a modeling challenge, which was not considered before. We propose a procedure to fit the observed data with a continuous time MAP of order 2 such that three moments and a correlation parameter of the discrete time observations are matched with three moments and the correlation parameter of the continuous time MAP for the given time interval. We implemented the fitting procedure in MATLAB and verified the obtained model of car charging station against simulation. As the MAP model of the arrival processes is reasonably close to the observations, the obtained MAP/G/c queue allows a more accurate dimensioning of car charging station than the previously applied ones.
      PubDate: 2018-06-01
      DOI: 10.3311/PPee.11841
      Issue No: Vol. 62, No. 3 (2018)
       
  • An Innovative Model for Adaptive Learning Utilizing Biofeedback and Item
           Response Theory

    • Authors: László Gazdi, Krisztián Pomázi, Máté Szabó, Bertalan Forstner
      Pages: 90 - 105
      Abstract: Measuring and providing efficiency of educational applications is a serious, open problem, which impacts the future of this expanding industry greatly. Reaching player engagement is a complex challenge, as it also depends on the given task and the mental state of the player. Researches answer this by using adaptive educational games. To reach the goal, however, knowledge about more parameters is required about the game tasks, the abilities of the player, his actual physiological state and performance as well. In this paper we present our results, which use a biofeedback based adaptive algorithm, and based on this, an innovative psychometric model to take a step towards maximizing user engagement.
      PubDate: 2018-06-08
      DOI: 10.3311/PPee.12213
      Issue No: Vol. 62, No. 3 (2018)
       
 
 
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