• Proceedings of the KIEE Conference
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• 1997.07b
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• pp.491-494
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• 1997

In this paper, we suppose a fuzzy logic controller for cruise control of vehicle. Generally, fuzzy logic controller is known as a controller which can be coped with a non-linear and a complex system. The proposed fuzzy logic controller consists of three input variables; that is, a desired speed, a current vehicle speed, and a current acceleration, and one output variable, throttle angle. The supposed fuzzy logic controller is for engine speed control system is implemented on 80586 microprocessor with DT-2801.

• Journal of Power Electronics
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• v.16 no.6
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• pp.2182-2191
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• 2016

This study proposes a novel frame anti-vibration controller for position sensorless PMSM drive application. This controller is called specific component reduction controller (SCRC). SCRC can function without an accelerometer and can achieve speed variable control. This study mainly comprises the following phases. First, the position sensorless control method will be provided. Second, the frame vibration model and load torque ripple will be shown. Third, SCRC will be discussed and its stability will be analyzed. Finally, experimental results show that SCRC can achieve speed variable anti-vibration control and compensate target frequency torque ripple.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.4
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• pp.366-371
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• 2014

The neural network pitch controller using changing rate of generator speed has been suggested in this paper to regulate wind turbine power above the rated wind speed. The changing rate of generator speed is used in the suggested pitch controller as well as the difference between the rated and current generator speed. Matlab/simulink has been used for simulations and it has been shown that the suggested pitch controller regulates generator speed as the rated speed of 122.9[rad/s].

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.3
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• pp.503-510
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• 2021

This study intends to apply the mathematical method of fractional order differentiation to a controller that controls the response of the system. Therefore, we design integrator for the fractional index by converting it into discrete time to construct a controller. The IP controller composes an integral controller for errors and the proportional controller applies only the system output. The controller is designed by using the fractional order integrator to the integral controller of the IP controller. First, the performance of the PI controller and the IP controller is compared, and the designed controller is applied to the speed control of the motor. As a result, the motor output speed was uniformed and precise control performance could be obtained. It was confirmed that the speed error in the steady state is within 0.1 [%], and it has precise and uniform speed control performance without overshoot.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.11 no.6
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• pp.379-387
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• 1986

The architecture and design of a highperformance general-purpose microprogrammable sequential controller are presented. Conventional sequential controllrs are limited by speed, memory requirement, flexibility and programming ease. The proposed controller solves those limitations. it has a fixed hardware and is microprogrammable throutgh firmware modification. It is especially designed for complex high-speed sequential controllers requiring large I/O capabilities, such as industrial process ocntroller or power electronic conversion controller.

• Proceedings of the KIEE Conference
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• 2001.07b
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• pp.1209-1211
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• 2001

Generally, the current controller is located inner the whole controller, so the characteristic of the current controller is important in controlling performance of the upper controller. A current control loop in motor control is designed so that it is 10 times faster than the speed control loop of the upper controller. Thus, the current controller with complex control algorithm is not proper. In this paper, the improved current controller using a conventional digital PI controller and feedforward controller for the brushless BC motor is designed.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2089-2091
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• 2001

In this paper, a hybrid controller that consists of a conventional PD controller and a neural network controller which adapts to various control conditions by online learning is used and a new learning algorithm of the neural networks is used to prevent weights of neural network from diverging. A conventional PI controller and the hybrid controller is applied to speed control of 3 phase induction motor. So in comparison with a PD controller, we prove superiority of hybrid controller by experiments.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.13 no.6
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• pp.370-479
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• 1988

This paper presents a microprogrammable sequential controller which realizes the sequential logic system with parallel sequences described by a GRAFCET. The proposed controller improves speed, flexibility, programming ease and the efficiency of controlled system by paralle sequencing capability. It is especially designed for complex high speed sequential contollers requiring large I/O capabilities, such as industrial process controller or power electronic conversion controller.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.13 no.6
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• pp.470-470
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• 1988

This paper presents a microprogrammable sequential controller which realizes the sequential logic system with parallel sequences described by a GRAFCET. The proposed controller improves speed, flexibility, programming ease and the efficiency of controlled system by paralle sequencing capability. It is especially designed for complex high speed sequential contollers requiring large I/O capabilities, such as industrial process controller or power electronic conversion controller.

• Journal of Electrical Engineering and Technology
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• v.13 no.1
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• pp.201-210
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• 2018

This paper proposes a new start-up method for a load commutated inverter (LCI) in a large synchronous gas-turbine generator. The initial rotor position for start-up torque is detected by the proposed initial angle detector, which consists of an integrator and a phase-locked loop. The initial rotor position is accurately detected within 150ms, and the angle difference between the real position and the detected position is less than 1%. The LCI system operates in two modes (forced commutation mode and natural commutation mode) according to operating speed range. The proposed controllers include a forced commutation controller for the low-speed range, a PI speed controller and a PI current controller, where the forced commutation controller is connected to the current controller in parallel. The current controller is modeled by Matlab/Simulink, where a six-pulse delay of the thyristor and a processing delay are considered by using a zero-order hold. The performance of the proposed start-up method is evaluated in Matlab/Psim at standstill and at low speed. To verify the feasibility of the method, a 5kVA LCI system prototype is implemented, and the proposed initial angle detector and the system performance are confirmed by experimental results from standstill to 900rpm.