• Journal of Auto-vehicle Safety Association
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• v.5 no.1
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• pp.62-68
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• 2013

This paper describes development of 4 Wheel Drive (4WD) Electric Vehicle (EV) based driving control algorithm for severe driving situation such as icy road or disturbance. The proposed control algorithm consists three parts : a supervisory controller, an upper-level controller and optimal torque vectoring controller. The supervisory controller determines desired dynamics with cornering stiffness estimator using recursive least square. The upper-level controller determines longitudinal force and yaw moment using sliding mode control. The yaw moment, particularly, is calculated by integration of a side-slip angle and yaw rate for the performance and robustness benefits. The optimal torque vectoring controller determines the optimal torques each wheel using control allocation method. The numerical simulation studies have been conducted to evaluated the proposed driving control algorithm. It has been shown from simulation studies that vehicle maneuverability and lateral stability performance can be significantly improved by the proposed driving controller in severe driving situations.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 1991.10a
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• pp.69-74
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• 1991

본 논문은 슬라이딩 모드 제어 기법을 이용한 직류 전동기의 디지탈 속도 제어기에 관한 연구이다. 또한 연속 시스템에 적용하던 슬라이딩 모드 제어기법을 이산 시스템에 사용할 수 있도록 해석하고, 실험하였다. 슬라이딩 모드 제어기에서 발생되는 채터링(CHATTERING) 현상을 감소시키기 위해 스위칭 주파수를 높이고, 샘플링 주기를 최대한 줄였으며 제어기 출력에 필터를 도입하였다. 또한, 스위칭 지연과 외란에 대한 보상도 고려하였으며 슬라이딩 모드 제어기를 마이크로 프로세서로 구성하였다. 전력 소비를 줄이기 위해 LIMITED UNIPOLAR 모드에서 직류 전동기를 구동하였다.

• Proceedings of the KIEE Conference
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• 2001.11c
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• pp.7-10
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• 2001

일반적으로 슬라이딩모드 제어는 강인한 특성을 가지나, 시스템 제어의 설계자는 외란이나 변수변화에 대한 최대 값을 알아야 한다. 그러나, 이와 같은 최대 값은 종종 쉽게 구할 수가 없다. 이에 반해 퍼지제어는 불확실한 외란이나 변수변화를 가지는 시스템의 제어기를 설계하는 효과적인 방법을 제시하고 있다. 본 논문에서는 이 두 가지 제어이론의 장점을 결합하여 자기부상시스템에 적용할 고성능의 제어기를 설계하고자 한다.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.44.3-44
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• 2001

This articles describes a novel design elastic joint manipulator for a mobile robot, which works in an office environment with humans. The primary goal of this manipulator design is safeness on collision and contact. To achieve this, each joint is made of an elastic element and this is driver with a high ratio gear tram. The performance was verified, however, it has a serious drawback. It produce vibration, due to the elastic joints and high ratio gear train. We found that a sliding mode controller has an excellent performance for reducing such vibration. Results of computer simulation and experiments are shown.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.442-445
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• 1991

In the physical system, if we can precisely control an acceleration and force, we can improve the performance of their integral values, velocity and position. From this point of view, in this paper we try to use an obverser which is constructed by using Variable Structure System for estimating the acceleration in the system with the bounded unknown disturbance and the parameter mismatching. To obtain the robust control performance, the VSS with sliding mode is adopted in the design of the servo controller.

• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.535-540
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• 1989

This paper presents an approach for designing a linear multivariable servo mechanism for the case of constant and time varying disturbances. In this paper, we use an "observer-based" approach to consider the disturbance vector as states of the system and the resulting servomechanism design involves the design of an asymptotic observer which estimates both the actual plant states and the disturbance states. The design makes use of switching dynamics instead of switching logics to obtain the sliding mode and from the switching dynamics we can remove the undesirable chattering phenomena.phenomena.

• 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.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.39-39
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• 2017

• Journal of the Korea institute for structural maintenance and inspection
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• v.15 no.1
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• pp.235-242
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• 2011

The control performance in active structural control system can be drastically deteriorated when the modeling errors and the uncertainties existing in the disturbances are disregarded in the designing stage. It can even throw the control system into an unstable phase, resulting in out of control against the seismic excitations. The purpose of the study is to investigate the control effectiveness of a non-linear control system called sliding mode controller(SMC) in cooperation with a Tuned Mass Damper subjected to the three seismic excitations selected from the FFT analysis. Even though the transient performance such as settling time and overshoot were deteriorated, the robustness against the system stability was appeared from SMC when the structural masses and stiffness perturbed within the range of ${\pm}30%$. SMC is a feasible technique for active structural control in cooperation with TMD against seismic disturbances, exhibiting robustness in perturbation of system stiffness and mass as well as uncertainties of the disturbances.

• Journal of information and communication convergence engineering
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• v.8 no.6
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• pp.702-708
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• 2010

This paper proposes a novel linearization method for Takagi.sugeno (TS) fuzzy model. A T-S fuzzy controller consists of linear controllers based on local linear models and the local linear controllers cannot be designed independently because of overall stability conditions which are usually conservative. To use linear control theories easily for T-S fuzzy system, the linearization of T-S fuzzy model is required. However, The linearization of T-S fuzzy model is difficult to be achieved by using existing linearization methods because fuzzy rules and membership functions are included in T-S fuzzy models. So, a new linearization method is proposed for the T-S fuzzy system based on the idea of T-S fuzzy state transformation. For the T-S fuzzy system linearized with uncertainties, a robust optimal controller with the robustness of sliding model control(SMC) is designed.