Transactions of the Society of Instrument and Control Engineers
Online ISSN : 1883-8189
Print ISSN : 0453-4654
ISSN-L : 0453-4654
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Volume 50, Issue 5
Displaying 1-8 of 8 articles from this issue
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Paper
  • Robust Stability and Instability of Uncertain Nonlinear Systems with Uncertainty-dependent Equilibrium
    Takayuki ARAI, Masaki INOUE, Jun-Ichi IMURA, Kenji KASHIMA, Kazuyuki A ...
    2014 Volume 50 Issue 5 Pages 387-394
    Published: 2014
    Released on J-STAGE: May 27, 2014
    DOIhttps://doi.org/10.9746/sicetr.50.387
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    In this paper, we propose a new approach to the robust stability and instability analysis for uncertain nonlinear systems. In our previous work, several criteria for the stability, instability, and robustness are given under the assumptions that the location of the equilibrium is not shifted by the uncertainty. However, the assumption does not hold for realistic systems in general. Therefore, we explicitly consider the uncertainty-dependent equilibrium and propose new robustness analysis methods for the stability and instability of uncertain nonlinear systems. Finally, illustrative examples for stability and instability analysis of an uncertain genetic network model are presented.
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  • An Active Noise Control Systems Design Using Frequency Domain Simultaneous Perturbation Method with Variable Perturbation Magnitude by Considering Controlled Band
    Tomoyo NISHIDA, Takahiro SHIMAZU, Kosuke SAKAMOTO, Toshio INOUE, Shuic ...
    2014 Volume 50 Issue 5 Pages 395-403
    Published: 2014
    Released on J-STAGE: May 27, 2014
    DOIhttps://doi.org/10.9746/sicetr.50.395
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    In this paper, a new ANC (Active Noise Control) system using FDSP (Frequency Domain Simultaneous Perturbation) method with automatic perturbation control, which considers controlled band, is proposed. In the proposed method, the magnitude of the perturbation signal is adjusted according to the magnitude of the present error signal. As a result, the proposed method can improve instability, which is caused by block processing, in comparison with the conventional method which uses the fixed perturbation when the error signal is large. Also, the proposed method uses smaller perturbation, which can become a noise, than the conventional method when the error signal is small. Effectiveness of the proposed method is demonstrated through experiments.
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  • Denoising Signal Processing and Diameter Effect on Ultrasonic-vortex-flowmeter Measurement of a Bubble-laden Flow
    Hidenobu ICHIKAWA, Kaoru IWAMOTO, Takahiro TSUKAHARA, Yasuo KAWAGUCHI
    2014 Volume 50 Issue 5 Pages 404-410
    Published: 2014
    Released on J-STAGE: May 27, 2014
    DOIhttps://doi.org/10.9746/sicetr.50.404
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    Ultrasonic vortex flowmeters are often used in the semiconductor manufacturing process. For better performance of the fluid control, it is desired to improve the signal processes of the vortex flowmeters. However, in practical terms, it is difficult to measure the flow velocity of the gas-liquid two-phase flow by using an ultrasonic vortex flowmeter. In order to examine the bubble behaviors behind the vortex shedder of the vortex flowmeter, visualization studies were performed under several different conditions in terms of the pipe diameter (D) and the void fractions (0.1%-2.1%), using the test fluids of tap water and air at room temperature. We found that the measurement of the bubble-laden flow was difficult for D=4.5 mm. For D≤8.5 mm, the P-FFT analysis based on the pre-multiplied energy spectra was proposed to extract accurately the Kármán-vortex frequency in the bubble-laden flow. The P-FFT analysis with a low-pass filter allows us to eliminate the low frequency from the measurement signal and to obtain successfully the liquid velocity even in a rather wide void-fraction range of the gas-liquid two-phase flow.
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  • Parameter Estimation of McKibben Pneumatic Artificial Muscle System by Game-theoretic Learning
    Ryo NAITO, Kiminao KOGISO
    2014 Volume 50 Issue 5 Pages 411-417
    Published: 2014
    Released on J-STAGE: May 27, 2014
    DOIhttps://doi.org/10.9746/sicetr.50.411
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    This paper discusses about estimating nine parameters of a nonlinear model of a McKibben pneumatic artificial muscle (PAM) system in a game-theoretic learning way. An algorithm for the learning is constructed to find a Nash equilibrium in which the parameters induce transient and output responses close to corresponding experimental reference data. With a practical PAM system we made for validation, then, it is confirmed that the learning algorithm can estimate better parameter values in the sense of how close the computed responses and the reference data are and of how long it takes to acquire the parameter values.
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  • Vehicle Location Estimation Sensor with a Pair of Leaky Coaxial Cable for Traffic Surveillance System
    Wataru TSUJITA, Kenji INOMATA, Hajime NAKAJIMA, Takashi HIRAI
    2014 Volume 50 Issue 5 Pages 418-423
    Published: 2014
    Released on J-STAGE: May 27, 2014
    DOIhttps://doi.org/10.9746/sicetr.50.418
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    We have developed a vehicle location estimation sensor with a pair of leaky coaxial cables for traffic survillance system. Recently there has been a great demand of traffic surveillance sensor that can be used under a bad weather condition where traffic monitoring camera cannot be used. Therefore, we propose a two-dimensional location estimation method using a pair of leaky coaxial cables (LCX). Once the two-dimensional location estimation is realized, the present method will be able to measure every vehicle position and analyze the vehicle density on a lane for detecting a traffic jam and a traffic accident. In this paper, the position of the car is measured based on the time of arrival techniques. Experiment results are presented to show that the proposed method is indeed feasible.
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  • Bio-imaging Method for Cell Observation
    Yasutake OKUDA, Satoru TAKAHASHI, Kuniaki KAWABATA, Shun'ichi KANEKO
    2014 Volume 50 Issue 5 Pages 424-431
    Published: 2014
    Released on J-STAGE: May 27, 2014
    DOIhttps://doi.org/10.9746/sicetr.50.424
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    Recently, cell observation plays an important role in the field of biological information and the field of the medical treatment. Then, it needs to analyze the behavior properties of cell from observation data. Therefore, we develop the image processing method for detection and tracking of cell with high accuracy. In this paper, considering change of brightness, change of cell shape and discrimination of cell, we construct a novel bio-imaging method which combines orientation code matching with multiple-templates and particle filter with multiple-likelihood functions. Finally, through several experiments we prove the effectiveness of our method.
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  • Nonlinear Model Predictive Control for Four-wheeled Vehicle with Saturation of Tire Forces and Load Transfers
    Kohei HINO, Tomoaki HASHIMOTO, Toshiyuki OHTSUKA
    2014 Volume 50 Issue 5 Pages 432-440
    Published: 2014
    Released on J-STAGE: May 27, 2014
    DOIhttps://doi.org/10.9746/sicetr.50.432
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    In this study, we propose a control method for a four-wheeled vehicle with drifted motion. We deal with the four-wheeled vehicle model that includes the effect of load transfers for each wheel and nonlinear tire model. Nonlinear model predictive control is used to determine the optimal control inputs and C/GMRES algorithm is applied for solving the optimization problem with low computational burden. Experimental results of a path tracking control, in which a target path is a sharp curve, verify that the control of target path tracking for four-wheeled vehicle can be achieved via real-time optimization.
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