• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.4
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• pp.659-666
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• 2006

Servo-motors are used as key components of automated system by performing precise motion control as accurate positioning and accurate speed regulation in response to the commands from computers and sensors. Especially, the linear brushless servo-motors have numerous advantages over the rotary servo motors which have connection with the friction induced transfer mechanism such as ball screws, timing belts, rack/pinion. This paper proposes an estimation method of unknown motor system parameters using the informations from the sinusoidal driving type linear brushless DC motor dynamics and outputs. The estimated parameters can be used to tune the controller gain and a disturbance observer. In order to meet this purpose high performance Digital Signal Processor, TMS320F240, designed originally for implementation of a Field Oriented Control(FOC) technology is adopted as a controller of the liner BLDC servo motor. Having A/D converters, PWM generators, rich I/O port internally, this servo motor application specific DSP play an important role in servo motor controller. This linear BLDC servo motor system also contains IPM(Intelligent Power Module) driver and hail sensor type current sensor module, photocoupler module for isolation of gate signals and fault signals.

• Proceedings of the KIEE Conference
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• 1999.07a
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• pp.9-11
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• 1999

A brushless and slotless DC linear motor(LDM)employing a movable set of neodymium-iron-boron type of magnets has high performances in advantages of large thrust per weights and accurate position control. But the Moving Magnet LDM produces thrust ripples owing to mainly end-effects, shape and magnetization of permanent magnets and so on. This paper represents the improvements of thrust ripples using the finite elements methods and phase control topology.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.7
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• pp.675-682
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• 2009

Instead of direct driving like BLDC, the induction principle is adopted as a driving one for planar stage. The stage composed of four linear induction motors put in square type is activated by two-axial forces; low-frequency attractive force and thrust force of the linear induction motors. Here, the modified vector control whose new inputs are q-axis current and dc current biased to three phase current instead of d-axis current or flux current is applied extensively to overall motion of the stage. For the developed system, the precision step test and the constant velocity test are tried to guarantee its feasibility for TFT-LCD pattern inspection. However, to exclude a discontinuity due to phase shift and minimize a force ripple synchronized with the command frequency, the initial system is revised to the antagonistic structure over the full degree of freedom. Concretely describing, the porous air bearings guide an air-gapping of the stage up and down and a pair of liner induction motors instead of single motor are activated in the opposite direction each other. The performances of the above systems are compared from trapezoid tracking test and sinusoidal test.

• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2505-2508
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• 2003

In this paper, we propose the method to control the position of LDM(Linear DC Motor) using vision system. The proposed method is composed of a vision system for position detecting, and main computer calculates PID control output which is deliver to 80il actuator circuit in serial communication. To confirm the usefulness of the proposed method, we experimented about position control of a small size LDM using CCD camera which has a performance 30frames/sec as vision system.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.1
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• pp.52-59
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• 1998

This paper represents identification and control designs using neural networks for a class of nonlinear dynamic systems. A proposed neuro-controller is a combination of a linear controller and a neural network, and is trained by indirect neuro-control scheme. The proposed neuro-controller is implemented and tested on an IBM PC-based bar system, and is applicable to many dc-motor-driven precisiion servo mechanisms. The ideas, algorithm, and experimental results are described. Experimental resutls are shown to be superior to those of conventional control.

• Proceedings of the KIEE Conference
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• 1998.07a
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• pp.49-51
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• 1998

The 4-pole LHSM was composed of the figure-of-eight shaped 3-phase armature windings. DC field windings, and the segmented secondary with the transverse bar track. These parameters were computed from the analytical expressions and examined from FEM analysis.

• Proceedings of the KIEE Conference
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• 1998.11b
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• pp.429-431
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• 1998

In this paper, the sun-seeker control system that is driven by DC motor is modeled on linear 2nd order time invariant system under some assumptions. For the analysis of output characteristics, theory is developed using digital control methods. Computer simulation and numerical analysis has been performed.

• Journal of Ocean Engineering and Technology
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• v.22 no.4
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• pp.14-19
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• 2008

This paper proposes a mixed $H_2/H_{\infty}$ optimal PID controller with a genetic algorithm based on the dynamic model of a brushless direct current (BLDC) motor and applies it to speed control. In the dynamic model of the BLDC motor with perturbation, the proposed controller guarantees arobust and optimal tracking performance to the desired speed of the BLDC motor. A genetic algorithm was used to obtain parameters for the PID controller that satisfy the mixed $H_2/H_{\infty}$ constraint. To implement the proposed controller, a control system based on PIC18F4431 was developed. Numerical and experimental results are shown to prove that the performance of the proposed controller was better than that of the optimal PID controller.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.9 no.3
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• pp.97-103
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• 1995

In this paper, for fuzzy control of linear servo system using the moving coil type linear DC motor, we propose a new fuzzy control method using parameter tuning for membership functions. A proposed fuzzy control method tunes parameters of membership function to have an appropriate control input signal for system when error exceeds predefined value and makes an inference using conventional fuzzy control rules when error reduces to a predefined value. To verify usefulness of a proposed fuzzy control method, making simulation and experiment, we compare with characteristics for conventional fuzzy control method.

• Proceedings of the KIEE Conference
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• 1990.07a
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• pp.336-339
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• 1990

This paper discusses the application of VSCS(Variable Structure Control System) to position control of a trapezoidal type brushless DC motor. In order to simplify the overall control system and to improve the robustness, a new switching function which is composed of linear combination of only measurable state variables Sr(x) and Sr(x) is defined. The proposed new switching function is implemented using a digital signal processor(DSP). A general PWM amplifier is replaced by an ON-OFF pattern generator for the hardware simplification and digitalization. Experimental results are given to demonstrate the validity of the proposed control method.