• Proceedings of the KIEE Conference
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• 1995.11a
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• pp.33-35
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• 1995

Permanent magnet brushless motor is widely used in industrial drive applications due to high efficiency, high power ratio, and easy maintenance. Position and speed sensors required in this dolor increase the drive cost, and reduce the application range. Some papers present the sensorless speed control using DSP with a high processing performance. However, DSP increases the cost, and makes the implementation difficult. This study has performed the sensorless speed control with a microprocessor system which can be easily accessed.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.04a
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• pp.171-175
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• 2000

Neural networks are in the framework of sensorbased tracking control of robot manipulators. They learn by practice movements the relationship between PSD (an analog Position Sensitive Detector) sensor readings for target positions and the joint commands to reach them. Using this configuration, the system can track or follow a moving or stationary object in real time. Furthermore, an efficient neural network architecture has been developed for real time learning. This network uses multiple sets of simple backpropagation networks one of which is selected according to which division (corresponding to a cluster of the self-organizing feature map) in data space the current input data belongs to. This lends itself to a very training and processing implementation required for real time control.

• Proceedings of the KIPE Conference
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• 2002.07a
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• pp.403-406
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• 2002

The paper presents the componet parts and their models for the switched reluctance motor drive system with the angle position-current chopping control and with the fixed angle pulse width modulation control. The calculation of the parameters and the simulated models based on the MATHLAB SIMULINK software package are introduced by a four-phase 8/6 structure prototype with the four-phase asymmetric bridge ower converter. The simulation of the prototype in the course of starting is made by the simulated models at the different control strategies and speeds.

• Transactions of The Korea Fluid Power Systems Society
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• v.5 no.1
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• pp.1-5
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• 2008

Pneumatic driving systems have hard non-linear characteristic and large friction force compared with driving power. Hence, it cannot be robust against parameter uncertainties, modelling error, disturbance and noise. In this study, we apply a mixed $H_2/H_{\infty}$ control to the generalized plant for a pneumatic driving apparatus system including parameter uncertainty and disturbance. In order to design the $H_2/H_{\infty}$ controller, we use the LMI technique. To evaluate control performance and robust stability of the designed controller, we compare it with a conventional controller such as PVA(Position-Velocity-Acceleration state controller) using the simulation results. As a result, it can be known that designed controller shows better robust stability than the conventional controller.

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.897-898
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• 2006

This paper presents test results for the speed control system of PMSM (Permanent Magnet Sychronous Motor). The PMSM has higher efficiency and torque per volume than other motors because PMSM use permanent magnet of high energy density instead of field winding. In this paper, current and speed control of PMSM using DSP was accomplished.

• Proceedings of the KIEE Conference
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• 1995.07b
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• pp.679-681
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• 1995

In this paper, a friction compensation scheme using a fuzzy logic is presented. For the precision positioning and tracking control, the proper friction compensation is essential. Friction compensation schemes based on velocity and controlling input or desired velocity, have limitations because the compensation values are fixed. In this paper, a fuzzy friction compensation scheme adjusts the compensation value depending on the velocity and the position error. The proposed fuzzy friction compensator is implemented in a linear positioning system. The performance is illustrated by simulations and experiments.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.2 no.3
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• pp.303-308
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• 1998

As the technology of industrial automation using robot system grows the rapid advance, productivity improvement and decrease in number of maintenance, management occur in many fields. Therefore, more various and intelligent robot motions are needed without human being help. Considering this situation, the need of robot with various, fast and safe acting sensors are demanded. In these sensings, the slippage sensing gives us specific information between ripper and object while grasps the object. In this paper, we proposed new slippage sensing algorithm for various and intelligent robot motion. So, optimal grasping force control and compensation of position error is possible for an adaptive task execution using adaptive control.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.40 no.2
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• pp.200-206
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• 1991

In this paper, an output feedback is used to reduce the effect of the vibration in the control of a flexible one-link robot arm. A PD control method with a time varying gain is proposed to improve the performance of the system in tip deflection and settling time for the step reference input. By making the change of feedback gain smoothly, th input torque can be made smooth. When there is a payload with unknown mass, an interpolation method which uses the inrehgrated value of the transient response of the hub angle is proposed for the estimation of teh payload mass. This method can be used when the reference input is known and we can get highly accurate estimate for the unknown payload. It is also demonstrated that flexible one-link arm can be controlled prettry accurately by an output feedback in a noisy environment without knowing the mass of the payload.

• Proceedings of the KIEE Conference
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• 2003.07b
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• pp.1120-1123
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• 2003

This paper is proposed a ANN-based rotor position and speed estimation method for IPMSM by measuring the currents. Because the proposed estimator treats the estimated motor speed as the weights, it is possible to estimate motor speed to adapt back propagation algorithm with 2 layered neural network. The proposed control algorithm is applied to IPMSM drive system. The operating characteristics controlled by neural networks control are examined in detail.

• Proceedings of the KAIS Fall Conference
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• 2004.06a
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• pp.213-216
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• 2004

It is a quite quality concerning to control temperature of single crystalline growth as it does when you get most of heat treating products. It is also important factor to control temperature when you make the $A1_2O_3$(single crystalline) used to artificial jewels, glass of watches, heat resistant transparent glasses. Thus, it is a major interest to get the proper temperature in accordance with the time process while you are making mixture of oxygen and hydrogen to have the right temperature. In this paper, we will study of electrical valve positioning system for the gas mixture to improve the quality of products.