• Proceedings of the KIEE Conference
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• 1998.07a
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• pp.149-151
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• 1998

Speed and position sensors require the additional mounting space, reduce the reliability, and increase the cost of motor. Various control algorithms have been proposed for the elimination of speed senor. This paper compares several schemes of MRAC for field-oriented control of induction motor without speed and flux sensors. These schemes are based on observing the fluxes, the counter EMF, and the instantaneous reactive power of motor. A review of these schemes of MRAC is presented. Then sensorless drives using each estimation method are compared through simulation and experiment.

• Proceedings of the KIEE Conference
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• 2000.07b
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• pp.1102-1104
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• 2000

Recently effective system-on-a-chip design methodology is developed, and ASIC chip design is much studied for motor control. This paper investigates the design and implementation of ASIC chip for sensorless speed control of induction motor using VHDL which is a standarded hardware description language. The sensorless control strategy is to design an adaptive state observer for flux estimation and to estimate the rotor speed from the estimated rotor flux and stator current. The presented system is implemented using a simple electronic circuit based on FPGA.

• Proceedings of the KIEE Conference
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• 2000.07b
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• pp.1123-1125
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• 2000

This paper presents the speed estimation using ANN and the rotor parameter Identification based on the MRAS theory for the sensorless induction motor drives. The motor speed is estimated using ANN model which contains the rotor parameter. And the rotor parameter is identified using MRAS scheme which contains the rotor speed. The rotor speed estimate converges to its actual value as the rotor parameter error converges toward the zero. The simulation using Matlab/Simulink is performed to verify the effectiveness of the proposed scheme.

• Proceedings of the KIEE Conference
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• 1999.07a
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• pp.382-384
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• 1999

We propose a new method for detecting Backemf of a motor and estimating parameters of a motor using Recursive Least Square Estimator. The motor speed is obtained from the estimated parameters. We experiment the PID speed controller with the estimated speed.

• Proceedings of the KIEE Conference
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• 2000.07b
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• pp.1053-1055
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• 2000

This paper describes a new approach to estimating permanent magnet synchronous motor(PMSM) speed and position from measured terminal voltages and currents for speed-sensorless vector control. The proposed system is based on observing the instantaneous reactive power of the motor. The described technique is very simple and robust to variations of motor parameters. The new approach is not dependent upon the value of the stator resistance. Also, MRAS schemes are chosen for determining the adaptive law for the speed and the position estimator. The effectiveness is verified by simulation.

• Proceedings of the KIEE Conference
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• 2000.07b
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• pp.684-686
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• 2000

Switched reluctance motor(SRM) has the advantages of simple structure, low rotor inertia. and high efficiency. However position sensor is essential in SRM in order to synchronize the phase excitation to the rotor position. The position sensors increase the cost of drive system and tend to reduce system reliability. This paper investigates the speed control of sensorless SRM in which the phase current and change rate are utilized in position decision, and the period of dwell angle is variable by compensating the rotor angle for speed control. The proposed system consists of position decision. phase locked loop controller, switching angle controller and inverter. The performances in the proposed system are verified through the experiment.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.53 no.11
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• pp.687-690
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• 2004

Many studies have been performed for the elimination of speed and position sensors which require the additional mounting space, reduce the reliability in harsh environments and increase the cost of a motor. This paper investigates an improved sliding mode observer for the sensorless speed control of a permanent magnet synchronous motor. The proposed control strategy is the sliding mode observer with a variable boundary layer for a low-chattering and fast-response control. The proposed algorithm is verified through the simulation and experimentation.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.51 no.2
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• pp.83-91
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• 2002

This paper presents a new speed and position sensorless control method of permanent magnet synchronous motors based on the sliding mode observer. Since the parameter of the dynamic equation such as machine inertia or viscosity friction coefficient are not well known and these values can be easily changed generally during normal operation, there are many restrictions in the actual implementation. The proposed adaptive sliding mode observer applies adaptive scheme so that observer may overcome the problem caused by using the dynamic equation. Furthermore, using the Lyapunov Function, the adaptive sliding mode observer can estimate rotor speed as well as stator resistance. The feasibility of the Proposed observer is verified cia the experiments.

• Proceedings of the KIEE Conference
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• 2000.11b
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• pp.384-386
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• 2000

This paper describes a new approach to estimating permanent magnet synchronous motor(PMSM) speed and position from measured terminal voltages and currents for speed-sensorless vector control. The proposed system is based on observing the instantaneous reactive power of the motor. The described technique is very simple and robust to variations of motor parameters. The new approach is not dependent upon the value of the stator resistance. Also, MRAS schemes are chosen for determining the adaptive law for the speed and the position estimator. The effectiveness is verified by the experimental results.

• Proceedings of the KIPE Conference
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• 2002.11a
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• pp.3-6
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• 2002

In a conventional speed sensorless stator flux-oriented(SFO) induction motor drive system, when the estimated speed is transformed into the sample-data model using the first-forward difference approximation, the sampled data model has a modeling error which, in turn, produces an error in the rotor speed estimation. The error included in the estimated speed is removed by the use of a low pass filter (LPF). As the result, the delay of the estimated speed occurs in transients by the use of the LPF This paper investigates the problem of a conventional speed sensorless SFO system due to the delay of estimated speed in the filed weakening region. In addition, this paper proposes a method to estimate exactly speed by using Luenberger observer, The proposed method is verified by experiment with a 5-hp induction motor drive.