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Author: search.filters.author.Furuya, Tadayoshi

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    A DSP-based modified slip energy recovery drive using a 12-pulse converter and shunt chopper for a speed control system of a wound rotor induction motor
    (2008-05-01)
    Tunyasrirut, Satean
    ;
    Ngamwiwit, Jongkol
    ;
    Kinnares, Vijit
    ;
    Furuya, Tadayoshi
    ;
    Yamamoto, Yoshiichi
    This paper introduces a modified slip energy recovery drive system for speed control of a wound rotor induction motor offering improvement of drive performance, particularly line power factor and overall system efficiency. A 12-pulse line commutated thyristor converter operating in an inverter mode in conjunction with an additional IGBT shunt chopper is employed to transfer slip energy back to ac mains supply via three phase transformers. This approach offers motor speed control by varying the duty cycle of the chopper instead of changing the inverter firing angle. As a consequence, supply power factor can be improved. The servo state feedback designed by linear quadratic regulator (LQR) with observer is also included in order to keep motor speed to be constant over a certain range of operating conditions by using the estimated dc link current derived from motor speed. The advantage of this technique is absence of current transducers for current feedback control loop. The overall control system is implemented on DSP, DS1104'TMS320F240 controller board. Experimental results are illustrated in order to validate performance of the proposed system. © 2007 Elsevier B.V. All rights reserved.
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    Improvement of slip energy recovery drives with voltage source inverter for a speed control of wound rotor induction motors
    (2007-12-01)
    Tunyasrirut, Satean
    ;
    Ngamwiwit, Jongkol
    ;
    Kinnares, Vijit
    ;
    Furuya, Tadayoshi
    ;
    Yamamoto, Yoshiichi
    This paper introduces the improvement of slip energy recovery drives with voltage source inverter for a speed control of wound rotor induction motors in order to reduce harmonics of input line current waveforms and improve its power factor. A boost chopper is used to connect the diode rectifier to DC link voltage, which is composed of a capacitor and voltage source inverter type space vector pulse width modulation (SVPWM). This scheme leads to be able to adjust the speed of the motor by the duty cycle of the chopper. The PI cascade controller is also introduced to control a speed to be constant when the load varies. An overview of the experimental test bench that the results are presented is three-fold. The first is the harmonics of input line current waveforms are reduced, the second power factor of the drive with VSI are improved and the third presented for a design PI controller for control a speed, where step change loading and unloading transients.
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    Self-tuning fuzzy logic controller for direct torque control of slip energy recovery system
    (2001-12-01)
    Tunyasrirut, Satean
    ;
    Ngamwiwit, Jongkol
    ;
    Furuya, Tadayoshi
    ;
    Yamamoto, Yoshiicshi
    This paper proposes a design self-tuning fuzzy logic controller to control the slip energy recovery system. The control system is designed to maintain efficiency of motor by keeping the speed constant and the good transient response by using direct torque control. Fuzzy logic controller has been designed by genetic algorithm optimization technique as a means to determine and optimize the fuzzy logic controller design is discussed. In the proposed approach normalization factors and/or membership function parameters and/or the controller policy, are translated into bit-strings. These bit-strings are processed by the genetic algorithm and if the selection process as well as the objective function is chosen properly, a near-optimal solution can be found. To examine the efficiency of the proposed approach, a self-tuning fuzzy logic controller for direct torque control the wound rotor induction motor drive is designed the current in dc link circuit. A particular objective function is chosen to achieve a high dynamic performance. The simulation results demonstrate a significant enhancement in shortening the development time, and improving system performance over a conventional fuzzy logic controller.
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    Adaptive fuzzy-neuro controller for speed of wound rotor induction motor with slip energy recovery
    (2000-12-01)
    Tunyasrirut, Satean
    ;
    Ngamwiwit, Jongkol
    ;
    Furuya, Tadayoshi
    ;
    Yamamoto, Yoshiichi
    In this paper, we proposed an adaptive fuzzy-neuro controller to control the speed of wound rotor induction motor with slip energy recovery. An adaptive fuzzy-neuro controller has been designed by integrating two neural network models with a basic fuzzy logic controller. Using the backpropagation algorithm, the first neural network is trained as a plant emulator and the second neural network is used as a compensator for the basic fuzzy controller to improve its performance on-line. The function of the neural network plant emulator is to provide the correct error signal at the output of the neural fuzzy compensator without the need for any mathematical modeling of the plant. The scheme is applied to the control speed of wound rotor induction motor process. The simulation and experimental results show that the adaptive fuzzy-neuro controller gives the controlled system by keeping the speed constant and good transient response without overshoot can be obtained.
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    Fuzzy logic control for speed of wound rotor induction motor with slip energy recovery
    (1999-12-01)
    Tunyasrirut, Satean
    ;
    Kanchanathep, Attapol
    ;
    Ngamwiwit, Jongkol
    ;
    Furuya, Tadayoshi
    Fuzzy Logic control is considered for speed of wound rotor induction motors with slip energy recovery. The speed is limited at some range of sub-synchronous speed of the rotating magnetic field. Control speed by adjusting resistance value in the rotor circuit that occurs the efficiency of power are reduced, because of the slip energy is lost when it passes through the rotor resistance. The control system is designed to maintain efficiency of motor. Fuzzy logic control method is applied for self-tuning the system by keeping the speed constant and adjusting the rotor current appropriated to the load. The good transient response without overshoot can be obtained.