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Volume 36, Issue 4
Displaying 1-9 of 9 articles from this issue
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Hiroki YAMAMOTO, Nobuharu AOSHIMA2000 Volume 36 Issue 4 Pages 313-318
Published: April 30, 2000
Released on J-STAGE: March 27, 2009
JOURNAL FREE ACCESSThis paper describes the anti-aliasing effect of the random fluctuation of sampling frequency. The purpose of this study is to present a basis for the application. We analysed the effect of the random fluctuation of the sampling instance of AD convertion, and explained mathematically the effect of reducing the ailiasing. Then, an example of numerical experiments was described to show the usefulness of this method. Those results indicated that our method has the effect like as anti-aliasing filter. This effect may have advantage in case of appling compact devices with simple hardware. It would be especially useful to the system with multi sampling rate mechanism, since retarding the timing of AD convertion is only required to change software and it requires no analog circuit before the AD converter.View full abstractDownload PDF (1416K) -
Manabu KOSAKA, Kiyoshi KOIZUMI, Hiroshi SHIBATA2000 Volume 36 Issue 4 Pages 319-327
Published: April 30, 2000
Released on J-STAGE: March 27, 2009
JOURNAL FREE ACCESSAn input signal, such as M series signal, used in the least square method is required to satisfy P.E. condition, which often results in resonance, and consequently large noise and vibration in a mechanical object, as in an oil hydraulic system. On the other hand, a step signal is practical because it causes less noise and vibration. Conventional off-line identification methods restrict the order of an identifiable model if a step signal is used for it.
In this paper, we propose a new off-line identification method, which can be applied to an arbitrary order object and performed with data generating constant steady state output response. The feature of the method is that a reduced order model can be obtained directly in the way that the intermediate parameters, from which the system parameters (coefficients of rational transfer function) are derived, are determined uniquely irrelevant to the unmodelled dynamics, so that 0∼N-tuple integral values of the output error lead to zero.
Numerical simulations indicate the effectiveness of the proposed method.View full abstractDownload PDF (2668K) -
Kou YAMADA, Tadashi OKUYAMA2000 Volume 36 Issue 4 Pages 328-334
Published: April 30, 2000
Released on J-STAGE: March 27, 2009
JOURNAL FREE ACCESSIn the present paper, we give an exact parametrization of all causal stabilizing repetitive controllers for the single-input/single-output continuous time minimum phase systems. The past studies on the parametrization of repetitve controller is to obtain the parametrization of all stabilizing controllers for the system such that the plant is connected to 1/(1-q(s)e-sL) in series, where q(s) is strictly proper asymptotically stable rational function. Since 1/(1-q(s)e-sL) has no zeroes in the closed right half plane, in the case that the plant is of minimum phase, the system such that the phase plant is connected to 1/(1-q(s)e-sL) in series is also of minimum phase. This implies that the exact paremetrization of all repetitive controllers for the minimum phase plant is obtained using the parametrization of all controllers for the minimum phase plant described by Glaria and Goodwin. Using above mentioned idea, the simple parametrization of all stabilizing repetitive controllers for the strictly proper system is given. Finally, numerical example to show the advantage of this parametrization is indicated.View full abstractDownload PDF (1296K) -
Izumi MASUBUCHI, Hiroaki IWAHASHI, Yuzo OHTA2000 Volume 36 Issue 4 Pages 335-339
Published: April 30, 2000
Released on J-STAGE: March 27, 2009
JOURNAL FREE ACCESSA new representation of the solutions to SISO q-Markov COVER (q-Markov COVariance Equivalent Realization) is proposed in this paper. The set of systems that match given first q Markov and covariance parameters is expressed explicitly in terms of the given partial parameters, unlike previous results via such as singular value decomposition. Consequently, the relation between the finite parameters and the solution systems of q-Markov COVER becomes much clearer.View full abstractDownload PDF (966K) -
Masaya SAKAI, Takao FUJII2000 Volume 36 Issue 4 Pages 340-347
Published: April 30, 2000
Released on J-STAGE: March 27, 2009
JOURNAL FREE ACCESSILQ optimal servo design method is known as a practical design method as derived from the viewpoint of Inverse Regulator Problem. Unlike the usual optimal servo system, this method enables us to specify directly a desired closed loop transfer function from reference input to output in a certain class. In this paper, we propose a design method for loop-shaping by utilizing an additional design freedom of an observer. The method enables us to specify not only the tracking property mentioned above, but also the noise suppression property, or a closed loop transfer function from noise to output. We then clarify the class of transfer functions from noise to output that can be specified by the method. Finally we provide a numerical example to illustrate the proposed method.View full abstractDownload PDF (1770K) -
Lianming SUN, Yasuhiro MIYAKE, Hiromitsu OHMORI, Akira SANO2000 Volume 36 Issue 4 Pages 348-355
Published: April 30, 2000
Released on J-STAGE: March 27, 2009
JOURNAL FREE ACCESSClosed-loop identification is essentially needed in control of an unstable plant stabilized by a feedback controller. A new direct closed-loop identification approach is proposed based on an output inter-sampling scheme, in which by taking faster sampling of the output than the input of the system the restrictive identifiability condition is removed. In a case of unstable system, since the noise model becomes non-minimum phase system, the prediction error method is not available. In order to solve these problems we clarify that the output inter-sampling gives the SIMO structure of the plant model and give a new identification method in which the denominator polynomial can be identified in an open-loop manner and the numerator polynomial can also be obtained by a modified instrumental variable method. The proposed algorithm is validated in an experimental study using a magnetic suspension system.View full abstractDownload PDF (1766K) -
Yoshio MOGAMI, Norio BABA2000 Volume 36 Issue 4 Pages 356-363
Published: April 30, 2000
Released on J-STAGE: March 27, 2009
JOURNAL FREE ACCESSIn this paper, a learning algorithm is constructed for variable hierarchical structure learning automata with P-model stationary random environments at each level. The learning propertiy of our algorithm is considered theoretically, and it is proved that the probability finding the optimal objective path can be approached 1 as much as possible by using our algorithm. In numerical simulation, the usefulness of our algorithm is shown.View full abstractDownload PDF (1779K) -
Takuji MURAO, Kouzou SUDOU2000 Volume 36 Issue 4 Pages 364-366
Published: April 30, 2000
Released on J-STAGE: March 27, 2009
JOURNAL FREE ACCESSThe numerical prediction based on the Navier-Stokes equation for the unsteady flow provided the vectorial velocity profiles and the streamline patterns during the switching process in a wall-attachment fluid amplifier. The switching mechanism was analyzed with the predicted stream function.View full abstractDownload PDF (452K) -
Carlos A. BRIZUELA, Nobuo SANNOMIYA2000 Volume 36 Issue 4 Pages 367-369
Published: April 30, 2000
Released on J-STAGE: March 27, 2009
JOURNAL FREE ACCESSThis paper deals with the presentation of a new selection procedure in order to control selection pressure and population diversity in Genetic Algorithms (GA's). We apply this method to the Job Shop Scheduling Problem and verify its better performance against a standard GA.View full abstractDownload PDF (486K)
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