• Transactions on Control, Automation and Systems Engineering
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• v.3 no.4
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• pp.272-282
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• 2001

Uncertainties are the main reasons of deterioration of contour control of industrial articulated robot arm. In this paper, a high-precision contour control method was proposed to overcome some main uncertainties, such as torque saturation, system delay dynamics, interference between robot links, friction, and so on. Firstly, each considered factor of uncertainties was introduced briefly. Then proper realizable objective trajectory generation was presented to avoid torque saturation from objective trajectory. According to the model of industrial articulated robot arm, construction of Gaussian neural network controller with considering system delay dynamic, interference between robot links and friction was explained in detail. Finally, through the experiment and simulation, the effectiveness of proposed method was verified. Furthermore, based on the results it was shown that the Gaussian neural network controller can be also adapted for the various kinds of friction and high-speed motion of industrial articulated robot arm.

• Journal of Industrial Technology
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• v.20 no.B
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• pp.189-194
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• 2000

In this paper, we present a BLDC Motor control for needle positioning and velocity control in the industrial sewing machine. In the industrial sewing machine, the fast acceleration control is needed, especially for a person who has a skill in operation of sewing machine for more products. And it is also needed to have a less noise and vibration. But the system which is made in a low price has no feedback system for a current control. Therefore we propose the method of velocity pattern that has an acceleration of velocity and Anti-windup algorithm. By the experiment, we confirmed that these manner have a good performance for low noise, low vibration and fast acceleration in the industrial sewing machine.

• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.669-674
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• 1989

Robot manipulators are highly coupled nonlinear systems and their motions are influenced by uncertain dynamics. In this paper a design methodology which is called model feedback control system or plant model control scheme is presented for the purpose of reducing the influence of the uncertain dynamics. This control system is applied to the trajectly control of the directly drived robot. Theoretically and experimentally performances resulting from use of this control scheme show that the influences of the uncertain dynamics are reduced obviously.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1793-1794
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• 2007

Since it has an advantage of possibility to control using experimentally given coefficient, PID Control is the most widely used method of control in the field of industry. However, since PID controller is not able to reflect the inherent characteristics of individual systems, it needs to be accompanied by additional techniques to supplement. Also, it has disadvantage that it is hard to find a satisfactory coeffi cient when the state of the system's dynamic characteristics and static characteristics are different each other. When the dynamic one shows up, it means the state of system shows a great amount of difference from that of desired such as the moment of beginning control or change of desired state. But, if the state of the system comes close to the desired state, the static characteristics shows up in the system. There are many solutions suggested to overcome problems according to the conversion of two examples of motion shown above. This paper is to confirm PID control's integration ingredient windup phenomenon, and experiment through technique of pre vention of windup actually using PLC(Programmable Logic Co ntroller), and to verify the change in characteristics of control.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.2
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• pp.126-130
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• 2006

Programmable Logic Controller(PLC) is the most widely utilized and plays an important role in industrial control system. Sequential Function Chart(SFC) is a graphic language which is suitable for describing a sequential control logic in discrete control system. We can design a distribute control construction and a hierarchical control construction in process control system described by SFC. In hierarchical control structure, we construct each subsystems to synchronize a synchronous signal between subsystems, and the command system gives and takes a synchronous signal with subsystems. Therefore, the system has a low memory efficiency and a low system performance. In this paper, we propose the method that improved the efficiency of memory in hierarchical control construction, and confirm its feasibility through an actual example.

• Journal of the Korea Computer Industry Society
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• v.3 no.2
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• pp.141-148
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• 2002

In this paper, brushed servo control system for industrial robot is realized under GUI environment. Brushed servo motor has 400W capacities, 1000ppr optic encoder and electric brake load. Especially, driving unit is composed of full-bridge MOSFET semiconductors with 9540 and 540 FET ICs. Control unit has PIC 16C74 microprocessor［l,2,3], RS-232 communication ports, URD current sensor, and GAL 16R8ACN. Servo control system is controlled by PID control method[5,8］ with varying control parameters and load capacities. Brushed servo control systems which are proposed in this raper are applied to industrial robot control system.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.3
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• pp.269-276
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• 2006

Increasing requirements for the high quality of industrial robot performance made the vibration control issue very important because the vibration makes it difficult to achieve quick response of robot motion and may bring mechanical damage to the robot. This paper presents the vibration mechanism of an industrial robot which has flexible joints. The joint flexibility of the robot is modeled as a two-mass system and its dynamic characteristics are analysed. And some characteristics of the two-mass system, especially for the joint of industrial robots, such as disturbance, non-linearity and time-varying characteristics are studied. And finally, some considerations on controller design for the flexible joint of industrial robots are discussed.

• Journal of Korean Institute of Industrial Engineers
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• v.10 no.2
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• pp.51-65
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• 1984

A process quality control system is designed which incorporates run tests, normality test, process capability studies, etc., into control chart scheme, and a software package for microcomputers is developed. The system is interactive and has data base management capabilities. All programs are written in BASIC language.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.4
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• pp.33-41
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• 2004

This study examines the relationship between multiple sales force management practices and performance within each of Miles & Snow (1978)'s strategy types and Walker & Ruekert (1987)'s strategy types. The findings are as follows : First, Prospectors seem to be associated with increased performance when they are utilizing a relationship selling strategy, internal sales force, moderate levels of supervision, outcome-based control system and incentive-oriented compensation system. Second, Analyzers seem to be associated with increased performance when they are utilizing a relationship selling strategy, internal sales force, outcome-based control system to deal with the instability in their strategic focus. Third, Low Cost Defender seem to be associated with increased performance when they are utilizing a relationship selling strategy, external sales force, low levels of supervision, outcome-based control system and salary-oriented compensation system. Fourth, Differentiated Defenders seem to be associated with increased performance when they are utilizing a relationship selling strategy, high levels of supervision, balanced (outcome+behavior) control system and salary-oriented compensation system.

• 제어로봇시스템학회:학술대회논문집
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• 1987.10a
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• pp.886-891
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• 1987

In this paper, we present a effective method to control robotic systems by an iterative learning algorithm. This method is based on the concepts of the learning control law which is introduced in this paper, that is, avoidance of using derivative of system state and ignorance of high frequency influence in system performance. By means of the betterment of performance due to the improvement of estimated unknown information, the learning control algorithm compels the system to gradually approach in desired trajectory, and eventually the tracking error asymptotically converges upon zero. In order to verify its utility, one degree of freedom of manipulator has been used in the experiments and the results illustrate this control scheme is very effective.