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

07 Aug. (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. An Evaluation Method for Hydrogen Embrittlement of High Strength Steel Sheets Using U-bend Specimens ISIJ International Advance Publication
  3. Influence of Atmosphere and Basicity on Softening and Melting Behaviors of the CaO–FeO–SiO2–Al2O3–MgO System ISIJ International Vol.60(2020), No.7
  4. Preface to the Special Issue on “Recent Approaches to Control of Cohesive Zone Phenomena and Improvement of Permeability in Blast Furnace” ISIJ International Vol.60(2020), No.7
  5. Numerical Simulation for the Influence of EMS Position on Fluid Flow and Inclusion Removal in a Slab Continuous Casting Mold ISIJ International Vol.60(2020), No.6
  6. Effect of Pre-reduction Degree on Softening Behavior of Simulant Sinter Iron Ore ISIJ International Vol.60(2020), No.7
  7. Method for Evaluating Hydrogen Embrittlement of High-Strength Steel Sheets Considering Press Formation and Hydrogen Existence State in Steel ISIJ International Advance Publication
  8. Prediction of Softening Behavior of Simulant Sinter Ore by ADEM-SPH Model ISIJ International Vol.60(2020), No.7
  9. Numerical Simulation of Coexisting Solid-liquid Slag Trickle Flow in a Coke Bed by the SPH Method with a Non-Newtonian Fluid Model ISIJ International Vol.60(2020), No.7
  10. Effect of Nitrogen-less Reducing Atmosphere on Permeability of Cohesive Layer in Blast Furnace ISIJ International Vol.60(2020), No.7

Search Phrase Ranking

07 Aug. (Last 30 Days)

  1. blast furnace
  2. blast furnace productivity
  3. blast furnace permeability
  4. blockage orifice
  5. trip steel
  6. skew rolling plate
  7. 780mpa
  8. hole expansion ratio
  9. intensive cooling in continuous casting
  10. suehiro masayoshi