Transactions of the Institute of Systems, Control and Information Engineers
New Arrival Alert : OFF

You can use this feature after you logged into the site.
Please click the button below.

Log in / Sign up
ONLINE ISSN: 2185-811X
PRINT ISSN: 1342-5668

Transactions of the Institute of Systems, Control and Information Engineers Vol. 27 (2014), No. 6

  • Maximum Power Point Tracking Control of Photovoltaic Systems Based on Particle Swarm Optimization with Experimental Verication

    pp. 237-245

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.27.237

    This paper is concerned with the maximum power point tracking control of photovoltaic systems. In solar power generation using photovoltaic systems, DC-DC converters are usually inserted between photovoltaic systems and loads so that we can change operation points and thereby increase efficiency. However, the characteristic of the output power with respect to the duty ratio of DC-DC converters has multiple local maxima and drastically changes according to weather variation. In this paper, we propose an algorithm for online tuning of the duty ratio based on particle swarm optimization so that we can realize maximum power point tracking under such intractable circumstances. We finally verify the effectiveness of the algorithm by practical experiments.
  • Feedforward Learning Control by Scheduled Locally Weighted Regression

    pp. 246-253

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.27.246

    Feedback Error Learning (FEL) has been actively studied in an adaptive control framework. When the plant is a time-variant or nonlinear system, however, conventional FEL schemes do not work any more because a single inverse model is not enough. As a remedy to this problem, Just-In-Time (JIT) modeling has been proposed, where we memorize regression data for all input/output behavior of the plant and construct local models as required in real time. However, a scheme for implementing JIT modeling, Locally Weighted Regression (LWR), has problems that it is computationally heavy to search for query point among huge amount of the past input/output data, and that regression calculation is difficult when the number of information vectors is insufficient. In view of these points, this paper proposes a new scheme. In the proposed scheme, we seek local models by a schedule parameter, instead of searching time series by input/output data. We call this scheme Scheduled LWR. By applying it to the FEL, we can reduce the search time without losing practicality and also solve the lack of sample number. We verify the effectiveness of the proposed scheme by simulation using a 2-link robot arm model.
  • Tractable Global Optimization Algorithms for Small Boolean Quadratic Programming Problems without Multiplications and Floating-Point Operations

    pp. 254-258

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.27.254

    We introduce tractable global optimization algorithms for small boolean quadratic programming problems using reflected Gray coding technique. In the algorithms, the space complexity is limited to O(n2). Furthermore, we can implement them without multiplications or floating point operations when the instances are integers. Numerical experiments revealed that the proposed algorithms run as fast as interior point algorithms for solving convex relaxation problems of the original QPs.

Article Access Ranking

27 Jan. (Last 30 Days)

  1. Perspective toward Long-term Global Goal for Carbon Dioxide Mitigation in Steel Industry Tetsu-to-Hagané Vol.105(2019), No.6
  2. Review on the High-Temperature Thermophysical Properties of Continuous Casting Mold Fluxes for Highly Alloyed Steels Tetsu-to-Hagané Vol.107(2021), No.1
  3. In-Situ Observation Experimental Study on the Agglomeration and Dispersion of Particles at the Interface of High-temperature Melts ISIJ International Advance Publication
  4. Quantitative Evaluation of Solute Hydrogen Effect on Dislocation Density in a Low-carbon Stable Austenitic Stainless Steel ISIJ International Advance Publication
  5. Improved Hydrogen Embrittlement Resistance of Steel by Shot Peening and Subsequent Low-temperature Annealing ISIJ International Advance Publication
  6. Development and Prospects of Refining Techniques in Steelmaking Process ISIJ International Vol.60(2020), No.12
  7. Effects of Stress and Plastic Strain on Hydrogen Embrittlement Fracture of a U-bent Martensitic Steel Sheet ISIJ International Advance Publication
  8. In situ Observation of Reduction Behavior of Multicomponent Calcium Ferrites by XRD and XAFS Tetsu-to-Hagané Advance Publication
  9. Intraparticle Temperature of Iron-Oxide Pellet during the Reduction Tetsu-to-Hagané Vol.60(1974), No.9
  10. Effects of Residual Stress on Hydrogen Embrittlement of a Stretch-Formed Tempered Martensitic Steel Sheet ISIJ International Advance Publication

Search Phrase Ranking

27 Jan. (Last 30 Days)

  1. blast furnace
  2. 西山記念技術講座
  3. blast furnace burden distribution
  4. blast furnace permeability
  5. j. f. elliott
  6. blast furnace productivity
  7. lme
  8. bottom dross
  9. carbon-containing pellet
  10. cold rolling edge crack trip