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RISS 인기검색어
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- 저자 : Ki-Kwang Park(박기광) (검색결과 19 건)
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Robust Adaptive Sliding Mode Controller for PMSM Servo Drives System
Ki-Kwang Park(박기광),Byung-Jo Han(한병조),Hong Pil Kim(김홍필),Hai-Won Yang(양해원) 대한전기학회 2009 대한전기학회 학술대회 논문집 Vol.2009 No.7
Dynamic friction and force ripple are the most predominant factors that affect the positioning accuracy of permanent magnet synchronous motor(PMSM) servo drives system, and it is desirable to compensate them in finite time with a continuous control law. In this paper, based on LuGre dynamic friction model, a robust adaptive skidding mode controller is proposed to compensate the nonlinear effect of friction and force ripple. The controller scheme consists of a PD component and a robust adaptive sliding mode controller for estimating the unknown system parameter. Using Lyapunov stability theorem, asymptotic stability analysis and position tracking performance are guaranteed. Simulation results well verify the feasibility and the effectiveness of the proposed scheme for high0precision motion trajectory tracking.
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Robust Adaptive Speed Controller for PMSM Servo Drives with Model Uncertainties
박기광(Ki-Kwang Park),한병조(Byung-Jo Han),양해원(Hai-Won Yang) 대한전기학회 2009 정보 및 제어 심포지엄 논문집 Vol.2009 No.10
In this paper, a robust adaptive speed control is developed for permanent magnet synchronous motors(PMSM) with uncertainties. The proposed control scheme consists of flux control(FC) using a sliding mode adaptive flux observer and robust speed control(RSC) using a function approximation for mechanical uncertainties (such as load torque, friction force and moment of inertia etc.). Dynamic friction and force ripple are the most predominant factors that affect the positioning accuracy of PMSM servo drives system, and it is desirable to compensate them in finite time with a continuous control law. The proposed controller guarantees both speed tracking and flux tracking. Simulation results are presented to illustrate the effectiveness of the approaches proposed.
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Sliding Mode Congestion Control of Differentiated-services Networks
Ki Kwang Park(박기광),Young Ho Hwang(황영호),Jin Hyeok Ko(고진혁),Hai Won Yang(양해원) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.7
In this paper, we propose sliding mode congestion controller for differentiated-services network. Two important issue in differentiated-services architecture are bandwidth guarantee and fair sharing of unsubscribed bandwidth among TCP flows with and without bandwidth reservation. We use tight upper and lower bounds for various settings of differentiated-services parameters using the loss-bounded model. The Sliding mode congestion controller scheme is designed using nonlinear control theory based on a nonlinear model of the network that is generated using fluid flow consideration. The methodology used is general and independent of technology, as for example TCP/IP or ATM. The sliding mode congestion controller methodology has been applied to an TCP network. We use NS-2 simulation to demonstrate that the proposed control methodology achieves the desired behavior of the network, and possesses important attributes. as e.g, stable and robust behavior, high utilization with bounded delay and loss, together with good steady-state and transient behavior.
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건물 에너지 분석 및 에너지 관리 시스템 알고리즘에 관한 연구
한병조(Byung-Jo Han),박기광(Ki-Kwang Park),구경완(Kyung-Wan Koo),양해원(Hai-Won Yang) 대한전기학회 2009 전기학회논문지 P Vol.58 No.4
In this paper, building energy analysis and energy cost of power stand up and demand control over the power proposed to reduce power demand. Through analysis of the load power demand special day were able to apply the pattern. In addition, the existing rate of change of load forecasting to reduce the large errors were not previously available data. And daily schedules and special day for considering the exponential smoothing methods were used. Previous year's special day and the previous day due to the uncertainty of the load and the model components were considered. The maximum demand power control simulation using the fuzzy control of power does not exceed the contract. Through simulation, the benefits of the proposed energy-saving techniques were demonstrated.
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이선영(Lee Sun Young),박기광(Park Ki Kwang),양해원(Yang Hai Won) 대한전기학회 2008 대한전기학회 학술대회 논문집 Vol.2008 No.10
This paper presents to control speed of induction motors with uncertainties. We use an adaptive backstopping controller with fuzzy neural networks(FNNs) and model reference adaptive system(MRAS) at indirect vector control method. The adaptive backstepping controller using FNNs can control speed of induction motors even we have a minimum of information. And a this controller can be used to approximate most of uncertainties which are derived from unknown motor parameters, load torque such as disturbances. MRAS estimates to rotor resistance and also can find optimal flux to minimize power losses of induction motor. Indirect vector PI current controller is used to keep rotor flux constant without measuring or estimating the rotor flux. Simulation and experiment results are verified the effectiveness of this proposed approach.
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