• Journal of Power Electronics
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• v.12 no.2
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• pp.305-316
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• 2012

The paper presents an accurate loss model based controller of an induction motor to calculate the optimal air gap flux. The model includes copper losses, iron losses, harmonic losses, friction and windage losses, and stray losses. These losses are represented as a function of the air gap flux. By using the calculated optimal air gap flux compared with rated flux for speed sensorless indirect vector controlled induction motor, an improvement in motor efficiency is achieved. The motor speed performance is improved using a fuzzy logic speed controller instead of a PI controller. The fuzzy logic speed controller was simulated using the fuzzy control interface block of MATLAB/SIMULINK program. The control algorithm is experimentally tested within a PC under RTAI-Linux. The simulation and experimental results show the improvement in motor efficiency and speed performance.

• Proceedings of the KIEE Conference
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• 2003.07b
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• pp.1128-1131
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• 2003

This paper proposes a speed control system based on a fuzzy logic approach, integrated with a simple and effective adaptive algorithms. And this paper attempts to provide a thorough comparative insight into the behavior of induction motor drive with PI, direct and improved fuzzy speed controller. A indirect vector controlled induction motor is simulated under varying operating condition. The validity of the comparative results is confirmed by simulation results for induction motor drive system.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2014-2017
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• 2001

In induction motor control systems driven by the indirect vector control scheme, the errorneous measurement of rotor speed results in incorrect flux angle estimate and consequently deteriorates the overall control performance. In this paper the effect of encoder fault on motor variables and control performance is analyzed by both theoretical approach and experimental study. A parity equation based on the power is suggested and applied to detect the incipient fault of encoder.

• Proceedings of the KIEE Conference
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• 1997.11a
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• pp.505-508
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• 1997

In this paper, an auto-tuning method for fuzzy controller based on the neural network is presented. The backpropagated error of neural emulator offers the path which reforms the fuzzy controller's membership functions and fuzzy rule, and used for speed control of induction motor. For the torque control method, an indirect vector control scheme with slip calculation is used because of its stable characteristics regardless of speed. Motor input current is regulated by a current controlled voltage source PWM inverter using space voltage vector technique. Also, the scheme of current control fuzzy controller is synchronous reference frame with decoupling term. DSP(TMS320C31) is used to achieve the high speed calculation of the space voltage vector PWM and to build the self-learning fuzz. control algorithm. An IPM is used to simplify hardware design.

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.403-405
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• 2007

This paper presents the over-modulation strategy and indirect vector control drive of NPC type PWM inverter. NPC inverter has three level phase voltage output.It can perform in high voltage through assembling switching components. It has less harmonics and surge voltage stress at motor terminals than the 2 level inverter in same switching frequency through 3 level voltage. The conventional railway vehicle has used the vector control to MI=0.907 and the slip-frequency control from MI=0.907 to six-step mode. The slip-frequency control has bad motive power and slow torque control response. But vector control has good motive power and can instant torque control. In this paper, output voltage is controlled linearly from linear region to six-step mode by using over-modulation strategy. And NPC inverter is used.

• Proceedings of the KIPE Conference
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• 2000.07a
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• pp.417-420
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• 2000

In order to the torque control the indirect flux control was performed by controlling the ratio of e/f and the q-axis flux was estimated by the slip command and q-axis flux was estimated by the slip command and q-axis current in the rotor circuits. Also the frequency was controlled to keep on the q-axis flux to be zero and the constant torque characteristics could be obtained by generation the preset torque. In the induction motor driven by the boltage source inverter with the constant voltage and frequency the speed variation is expressed as a slip So the speed control can be achieved by slip compensation The slip was calculated with a q-flux current filtered by first-order filter and as the result the error problem which may occur in current detection was eliminated

• Proceedings of the KIEE Conference
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• 1996.07a
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• pp.470-472
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• 1996

In this paper, we proposed a new speed control algorithm based on the least-order observer theory. The proposed system using the new algorithm can estimate the instantaneous speed accurately even at low speed by using a load torgue observer estimating the torgue component of indirect-vector controlled induction motor. Thus the stable characteristics of speed control are possible at low speed even in the case of using low-resolution rotary encoder. Also, the system becomes robust against disturbance by feedforward control the load torque estimated automatically at the speed observer.