• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.36 no.5
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• pp.448-454
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• 2008

This paper deals with a behavior based decentralized control strategy for UAV swarming utilizing the artificial potential functions and the sliding mode control technique. Individual interactions for swarming behavior are modeled using the artificial potential functions. The motion of individual UAV is directed toward the negative gradient of the combined potential. For tracking the reference trajectory of UAV swarming, a swarming center is considered as the object of control. The sliding-mode control technique is adopted to make the proposed swarm control strategy robust with respect to the system uncertainties and the varying mission environment. Numerical simulation is performed to verify the performance of the proposed controller.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.1020-1026
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• 2014

A problem of sliding mode control is chattering because of controle input signal included unknown disturbance and nonlinear input parameters. This paper presents a sliding mode controller design to inverted pendulum system. In this paper, a sliding mode control algorithm to reduce a chattering is proposed. The reduction of chattering is accomplished by smoothing function for nonlinear control input. In this method, the dynamic equations of the inverted pendulum is decoupled by considering nonlinear parameters and external disturbances. Therefore, this study is applied to obtain switching control inputs for sliding mode controller. The proposed technique is tested to the control of inverted pendulum through computer simulations. The result shown reduced chattering in control input.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.11
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• pp.2011-2020
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• 1992

This paper discusses about real time control applying sliding mode to robot manipulators whose nonlinear terms, which are inertia term, Corilis term and centrifugal force mterm, are regarded as disturbances. We could simplify the dynamic equations of a manipulator and servo system, which are composed of linear elements and nonlinear elements, by assuming that non-linear terms are external disturbance. By simplifying that equation, we could easily obtain a control input which satisfy sliding mode. We proposed a new control input algorithm to decrease chattering in the application of sliding mode control of manipulator whose nonlinear elements are regarded as disturbances. We could take impulse response of linear elements of dynamic equations of a robot manipulator and servo system by Signal Compression Method. So then, we could obtain the unknown parametes of its linear lements, which are used to obtain switching parameter satisfying sliding mode, by Signal Compression Method. In this experiments, we used DSP(Digital Signal Processor) controller to suppress chattering by obtaining a switching speed and to carry out real time control.

• Journal of Advanced Navigation Technology
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• v.10 no.3
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• pp.191-197
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• 2006

In the paper propose a sensorless sliding mode control method of an induction motor using an adaptive speed control. The control objective is apply to adaptive speed observer instead of a encoder and to remove errors using the sliding mode current controller by parameters variation and disturbances that include the current controller. A stability of the sliding mode current controller and the adaptive speed observer using a design controller is guaranteed by the Lyapunov stability criterion. The performance of the proposed control system is demonstrated by simulation using the matlab silmulink and experimental results using induction motor show that the proposed method can apply an induction motor control.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1999.12a
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• pp.747-757
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• 1999

본 논문에서는 가변구조제어기의 슬라이딩모드이득과 경계층두께(boundary layer thickness)를 신경망을 이용하여 계산하는 신경망 가변구조제어기를 제시한다. 제시된 방법은 신경망의 역전파오차 학습기능을 이용하여 슬라이딩모드이득과 경계층 범위를 계산할 수 있도록 신경망 제어기를 학습시킴으로써, 슬라이딩모드 제어법칙을 단순화 하고, 시스템 불확실성에 대하여 강인하며, 추적오차를 더욱 개선시킬 수 있다. 설계의 예와 시뮬레이션 결과를 통하여 제시된 방법에 대한 유용성을 보인다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.3
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• pp.643-650
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• 2017

The control of flexible joint robot is getting more attentions because its applications are more frequently used for robot systems in these days. This paper proposes a robust impedance controller for the flexible joint robot by using integral sliding mode control and backstepping control. The sliding mode control decouple disturbances completely but requires matching condition for disturbances. The dynamic model of flexible joint robot is divided into motor side and link side and the disturbance of the link side does not satisfy matching condition and cannot be decoupled directly by the actual input in the motor side. To overcome this difficulty, backstepping control technique is used with sliding mode control. The mismatched disturbance in the link side is changed into matched one in the respect to virtual control input which is the state controlled by actual input in the motor side. Integral sliding mode control is used to preserve the impedance control performance and the improved robustness at the same time.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2561-2563
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• 2005

영구자석 매입형 동기전동기(IPM)의 전류제어는 표면부착형 동기전동기(SPM)보다 더 복잡하다. 그 이유는 전류에 대한 최대토크특성 때문이며 고성능 토크제어를 위해서는 d-전류와 q-전류를 독립적으로 제어를 할 수 있는 방법이 필요하다. 그러나 전류들간의 상태커플링 때문에 독립적으로 제어하기가 어려우므로 상태 디커플링이 필요하다. 상태디커플링은 인턱턴스에 의해 생기며 인턱턴스의 변화 때문에 상태디커플링이 쉽게 이루어지지 않는다. 그러므로 인턱턴스의 불확실성에 대처할 수 있는 디커플링 방법의 개발을 바탕으로한 전류들의 독립적인 제어가 필요하다. 본 논문은 슬라이딩 모드제어기법을 이용하여 디커플링할 수 있는 방법을 제안하기로 한다. 기본적인 제어방법은 PI제어이며 슬라이딩모드를 이용하여 PI제어의 성능을 향상시키는 접근방법으로도 생각할 수 있다.

• Proceedings of the KIPE Conference
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• 2010.07a
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• pp.520-521
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• 2010

본 논문은 군사용 미사일의 조립 후 성능 검증을 위한 Missile Assembly Test System(MATS)용 IPMSM의 위치 제어 방법을 구현하였다. 이를 위하여 슬라이딩 모드 제어기와 PI 제어기를 Membership 함수를 사용하여 혼합한 개선된 위치제어 알고리즘을 제안하였다. 오버슈트가 없고, 외란에 대하여 강인하게 운전 궤적을 추정하는 특성이 뛰어난 슬라이딩 모드 제어의 장점과, 빠른 제어 응답성과 정상상태에서 리플이 적은 PI제어를 적절하게 혼합하였고, 이를 시뮬레이션을 통하여 IPMSM의 위치제어 성능을 검증하였다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.41 no.6
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• pp.448-457
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• 2013

This paper presents the design of an active flutter suppression system for flexible wing using sliding mode control method. The aerodynamic force generated by the motion of a flexible wing control surface is utilized as control force. For this purpose, aeroservoelastic model is formulated by blending aeroelastic model, control surface actuator model, and gust model. A sliding mode controller is designed for active flutter suppression on the aeroservoelastic model in conjunction with Kalman filter that estimates the system states based on the measured output. The performance of the designed controller is demonstrated via numerical simulation for the representative flexible wing model.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.41 no.2
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• pp.45-52
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• 2004

The sliding mode controller with a boundary layer implemented by simplified indirect inference method (SIIM) fuzzy logic was proposed. The components of the sliding line function are used for the inputs of the SIIM fuzzy logic. The proposed control system is simple because there is no need to derive the sigmoid function and there are only four rules. The overall stability of the proposed system and the boundness of the tracking error are proved easily using the Lyapunov theory. We apply the proposed controller to control a nonlinear time-varying system. The computer simulation showed the validity of the proposed control system.