Showing papers by "Tadanao Zanma published in 2011"
01 Nov 2011
TL;DR: A frequency analysis based on a single sinusoidal correlation is described in order to clarify the control performance of the model predictive instantaneous current control (MPIC).
Abstract: We have proposed a novel approach for permanent magnet synchronous motors based on model predictive control. This paper describes a frequency analysis based on a single sinusoidal correlation in order to clarify the control performance of the model predictive instantaneous current control (MPIC). For MPIC, the proposed analysis method allows us to analyze the gain and phase characteristics which has not been discussed explicitly so far in other works.
14 citations
Proceedings Article•
15 Sep 2011TL;DR: A novel direct torque control system for permanent magnet synchronous motors (PMSM) based on model predictive control (MPC) achieves a comparable torque ripple with lower inverter switching frequency than a conventional DTC.
Abstract: In this paper, we propose a novel direct torque control (DTC) system for permanent magnet synchronous motors (PMSM) based on model predictive control (MPC). The proposed method achieves a comparable torque ripple with lower inverter switching frequency than a conventional DTC.
9 citations
TL;DR: In this article, the authors proposed a method of sensorless suppression control of frame vibration by means of Fourier series and repetitive control, which requires an acceleration sensor and a position sensor.
Abstract: It is well known that frame vibration occurs in driving permanent magnet synchronous motors (PMSM). The authors have suggested a method for suppression of frame vibration by means of Fourier series and repetitive control. The method requires an acceleration sensor and a position sensor. However, the use of such a sensor is not desirable from the point of view of system cost. Therefore, this paper proposes a method of sensorless suppression control of frame vibration. The effectiveness of the proposed method is illustrated by experiments. © 2010 Wiley Periodicals, Inc. Electr Eng Jpn, 174(3): 53–61, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.21048
2 citations
Proceedings Article•
27 Oct 2011TL;DR: This paper addresses quantization of control systems in which the state is quantized via a quantizer by means of the model predictive control to improve the control performance.
Abstract: This paper addresses quantization of control systems in which the state is quantized via a quantizer. In addition, some constraints imposed on input/output or state are also considered. The resolution of the quantizer is optimized by means of the model predictive control (MPC) to improve the control performance. The effectiveness of the proposed method is verified by some simulations.
1 citations
TL;DR: In this paper, a human-operated task model based on identification techniques using switched systems expressed by mixed logical dynamical systems is considered, where each subsystem is expressed by a piecewise affine system.
Abstract: This paper considers a human-operated task model based on identification techniques using switched systems expressed by mixed logical dynamical systems. In the system, each subsystem is expressed by a piecewise affine system. For a model to be identified, it is not easy to determine a number of subsystems in advance. In this paper, we propose a simultaneous identification technique which takes into account both a number of subsystems and parameters, so that a piecewise affine model of a human operation can be obtained. In addition, the obtained model is applied to automation. The effectiveness of the proposed method is illustrated by simulations and experiments. © 2011 Wiley Periodicals, Inc. Electr Eng Jpn, 176(1): 46–54, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.21079