• The Transactions of the Korean Institute of Power Electronics
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• v.12 no.4
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• pp.324-331
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• 2007

This paper studies new estimation method for state of charge (SOC) of the hybrid electric vehicle lithium battery using sliding mode observer. A simple R-C Lithium battery modeling technique is established and the errors caused by simple modeling was compensated by the sliding mode observer. The structure of the sliding mode observer is simple, but it shows robust control property against modeling errors and uncertainties. The performance of the system has been verified by the UUDS test. The test results of the proposed observer system shows robust tracking performance under real driving environments.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.2
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• pp.316-321
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• 2007

[ $H{\infty}$ ] controller, which shows robustness for disturbances and noises, can not be used in the case of uncertain system parameters. Even if the $H{\infty}$ controller can be designed for the parameter uncertain system, its performance can be deteriorated. Therefore, in this paper, the robustness of $H{\infty}$ controller is improved by using the SMC(Sliding Mode Control). The LMI based $H{\infty}$ controller is designed first and then SMC controller is added.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.185-193
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• 2022

This paper proposes an adaptive sliding mode control with radial basis function neural network(RBFNN) scheme to enhance the performance of position and attitude tracking control of quadrotor UAV. The RBFNN is utilized on the approximation of nonlinear function in the UAV dynmic model and the weights of the RBFNN are adjusted online according to adaptive law from the Lyapunov stability analysis to ensure the state hitting the sliding surface and sliding along it. In order to compensate the network approximation error and eliminate the existing chattering problems, the sliding mode control term is adjusted by adaptive laws, which can enhance the robust performance of the system. The simulation results of the proposed control method confirm the effectiveness of the proposed controller which applied for a nonlinear quadrotor UAV is presented. Form the results, it's shown that the developed control system is achieved satisfactory control performance and robustness.

• Journal of Advanced Navigation Technology
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• v.26 no.4
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• pp.226-234
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• 2022

With advances in autonomous vehicles and networked control, there is a growing interest in the consensus control of a multi-agents system to control multi-agents with distributed control beyond the control of a single agent. Since consensus control is a distributed control, it is bound to have delay in a practical system. In addition, it is often difficult to have a very accurate mathematical model for a system. Even though a reinforcement learning (RL) method was developed to deal with these issues, it often experiences slow convergence in the presence of large uncertainties. Thus, we propose a slide RL which combines the sliding mode control with RL to be robust to the uncertainties. The structure of a sliding mode control is introduced to the action in RL while an auxiliary sliding variable is included in the state information. Numerical simulation results show that the slide RL provides comparable performance to the model-based consensus control in the presence of unknown time-varying delay and disturbance while outperforming existing state-of-the-art RL-based consensus algorithms.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.45 no.8
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• pp.647-661
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• 2017

This paper presents a robust method for autonomously landing on small bodies. Autonomous landing is accomplished by generating and following reference position and attitude profiles. The position and attitude tracking controllers are based on discrete sliding mode control, which explicitly treats the discrete and impulsive natures of thruster operation. Vision-based inertial navigation is used for autonomous navigation for landing. Numerical simulation is carried out to evaluate the performance of the proposed method in a realistic situation with environmental uncertainties.

• Proceedings of the KIPE Conference
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• 2003.07b
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• pp.799-802
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• 2003

시스템이 슬라이딩모드의 존재조건을 만족하는 경우, 전동기의 상태가 전동기의 파라미터에 의존 하지 않고 결정되는 절환 초평면에 수렴하기 때문에 파라미터에 불감한 응답을 나타낸다. 본 연구는 소형 유도전동기에 의한 외란 및 파라미터의 변동에 대하여 로바스트(robust)와 동시에 정확한 응답을 나타내는 교류서보 전동기를 이용한 서보 시스템을 설계한 것이다. 이를 실현하기 위해서 가변구조 제어 이론에 기초한 슬라이딩모드 제어규칙을 결정하고 유도전동기 자계 슬립주파수형 벡터제어를 실현한다.

• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.125-126
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• 2007

이 논문에서는 제어 가능한 선형시스템에 대한 다이나믹 터미널 슬라이딩 모드 제어기를 설계하고자 한다. 제안된 터미널 슬라이딩 모드구조와 제어기는 추가된 다이나믹스의 스캐일링을 통해 설계되며, 추가된 다이나믹스는 모든 상태변수들이 원점에 도달한 후에야 원점에 도달하므로 특이점을 가지지 않게 된다. 그리고 전체시스템의 유한시간 안정화는 유한시간 안정에 관한 리아프노프 함수를 이용하여 증명할 수 있다.

• Proceedings of the KIEE Conference
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• 2000.07e
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• pp.63-65
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• 2000

본 논문은 영구 자석 동기 모터의 속도 제어를 위하여 슬라이딩 모드 제어 기법을 도입하였다. 또한 기계적인 위치 또는 속도 센서 없이 속도 제어를 수행하기 위하여 부하 토크 및 속도 관측기를 이용하였으며, 시뮬레이션을 통하여 그 성능을 확인하였다.

• Proceedings of the KIPE Conference
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• 2019.11a
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• pp.104-105
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• 2019

본 논문에서는 한 대의 인버터로 두 대의 PMSM의 병렬 운전 제어를 위한 속도 제어기를 제안한다. 제안한 제어기는 파라미터 변동에 강인한 슬라이딩 모드 제어 이론에 근거한다. 제안하는 기법은 실험을 통해 그 타당성이 검증되었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1685-1691
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• 2004

The objective of this study is aimed at reducing the contour error of AC Servo derives by improving the interpolation error of each axis through variable structure control system. The errors in machining process by AC Servo motor are due to many elements, such as the delay of the servo drivers, friction and the gain mismatch between x axis and y axis motors and so on. Sliding mode control system is applied to a AC servo drive as a numerical example in this paper. The experiment results which are compared with those of typical PI scheme show the validity of improvement in circular interpolation error of the system.