• 제어로봇시스템학회:학술대회논문집
• /
• 1996.10b
• /
• pp.698-701
• /
• 1996

A novel neural network control scheme is proposed to identify the inverse dynamic model of robot manipulator and to compensate for uncertainties in robot dynamics. The proposed controller is called reference compensation technique(RCT) by compensating at reference input trajectory. The proposed RCT scheme has many benefits due to the differences in compensating position and learning algorithm. Since the compensation is done outside the plant it can be applied to many control systems without modifying the inside controller. It performs well with low controller gain because the operating range of input values is small and the output of the neural network controller is amplified through the controller gain. The back-propagation algorithm is used to train and simulations of three link robot manipulator are carried out to prove the proposed controller's performances.

• Journal of the Korean Society of Industry Convergence
• /
• v.25 no.2_2
• /
• pp.193-198
• /
• 2022

In this paper, we introduce the improved control method are communicated between a master and a slave robot in the teleoperation systems. When the master and slave robots are located in different places, time delay is unavoidable under the network environment and it is well known that the system can become unstable when even a small time delay exists in the communication channel. The time delay may cause instability in teleoperation systems especially if those systems include haptic feedback. This paper presents a control scheme based on the estimator with virtual master model in teleoperation systems over the network. As the behavior of virtual model is tracking the one of master model, the operator can control real master robot by manipulating the virtual robot. And LQG/LTR scheme was adopted for the compensation of un-modeled dynamics. The approach is based on virtual master model, which has been implemented on a robot over the network. Its performance is verified by the computer simulation and the experiment.

• Proceedings of the KIEE Conference
• /
• 1993.07a
• /
• pp.380-382
• /
• 1993

In this paper, we derive a simple robust nonlinear control scheme for n-link robot manipulators subject to parameter uncertainty. By using the theory of variable structure system(VSS) and taking advantage of the important property of the robot dynamics, the stability of the derived control scheme is proved. This scheme utilizes the desired trajectory outputs, which can be calculated a priori, instead of the actual joint outputs in the nonlinear compensation controller. So the amount of on-line calculations is largely reduced, and as a result, this scheme can be implemented much more efficiently.

• Journal of the Korean Institute of Telematics and Electronics B
• /
• v.33B no.5
• /
• pp.25-32
• /
• 1996

This paper will propose the direct adaptive learning control scheme based on adaptive control technique and intelligent control theory for a nonlinear system. Using the proposed learning control scheme, we will apply to on-line control an uncertain but for model perfect matching, it's structure condition is known. The effectiveness of the proposed control schem will be illustrated by simulations of a robot manipulator.

• 제어로봇시스템학회:학술대회논문집
• /
• 1995.10a
• /
• pp.267-270
• /
• 1995

In this paper, a variable structure control scheme with a terminal sliding mode is proposed for robot manipulators. The proposed control scheme guarantees that the output tracking error converges to zero in finite time, and the overall system shows robust property against parametric uncertainties and external disturbances all the time.

• 제어로봇시스템학회:학술대회논문집
• /
• 2000.10a
• /
• pp.158-158
• /
• 2000

In this paper, control problems of computer kitchen systems are studied, which are widely used to automate test dyeing processes. To reduce the process time and avoid collision, a simplified real time control scheme Is proposed using Windows 98 environments Using two robots and applying proposed control scheme, the process time was reduced more than 30% for a given recipe in comparison with one robot machine

• Proceedings of the KIEE Conference
• /
• 2000.07d
• /
• pp.2880-2882
• /
• 2000

In the case of designing autonomous robot architecture using deliberative and reactive control methods, we can use mixed hybrid form as well as purely reactive scheme or purely deliberative scheme respectively according to its own goal and environment within the robot operates, It needs time and endeavors to design robot control architecture in either case above. In our research, we implemented a 3-dimensional robot simulator in order to help designing reactive/deliberative autonomous robot control architecture by offering methods which is capable of selecting design parameters and confirming its performances. It can be used, of course, to design purely reactive or purely deliberative architecture. The architecture and performance of simulator is shown and a sample hybrid robot architecture designed with the simulator is introduced in this article.

• Journal of Institute of Control, Robotics and Systems
• /
• v.10 no.4
• /
• pp.312-316
• /
• 2004

In this paper, it is presented an adaptive robust control system to implement real-time control of a robot manipulator. There are Quantitative or qualitative differences between a real robot manipulator and a robot modeling. In order to compensate these differences, uncertain factors are added to a robot modeling. The uncertain factors come from imperfect knowledge of system parameters, payload change, friction, external disturbance, etc. Also, uncertainty is often nonlinear and time-varying. In the proceeding work, we proposed a class of robust control of a robot manipulator and provided the stability analysis. In the work, we propose a class of adaptive robust control of robot manipulator with bound estimation. Through experiments, the proposed adaptive robust control scheme is proved to be an efficient control technique for real-time control of a robot system using DSP.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2003.06a
• /
• pp.302-305
• /
• 2003

In this paper, dynamic behaviors of a small-sized flying robot with 4 rotors propelled by DC motor are discussed, and a control scheme based on the dynamic model to make stable flying motions, i.e., hovering, take-off, cruising behavior, etc. is proposed. The experimental results via some flying tests show good performances for practical use. The flying robot with 6DOF is controlled only 4 DOF, and the rest of two DOF are remained under the dynamic constraints. How to give the stability of all positions and orientations and to make the omni-directional motions in spite of such restrictions is analyzed. The proposed control scheme composes of two stages. First, PD control inputs for the trust-force and orientation are calculated, next the control inputs are distributed to each rotor by using a sort of Jacobian matrix. To design and control of a low cost - small sized flying robot, vibrated gyro sensor, cheap accelerometer, IR, and ultra sonic sensors are selected.

• Journal of Institute of Control, Robotics and Systems
• /
• v.16 no.1
• /
• pp.61-68
• /
• 2010

This paper proposes networked swarm robotic systems with group based control scheme using spring damper impendence feature. The proposed algorithm is applied to keep system arrangement in unexpected situations based on the spring-damper impedance and fuzzy logic. Using the proposed scheme, each robot overcome collision problems efficiently. The structure of UBSR (UMPC Based Swarm Robot) system consists of user level, cognitive level, and executive level. This structure is designed to easily meet the different configuration requirements for other levels. Simulation results show an availability of the proposed method.