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적응제어형 외란 관측기를 이용한 BLDC 전동기의 정밀위치제어에 대한 연구
고종선(Jong-Sun Ko),윤성구(Sung-Koo Youn) 전력전자학회 1999 전력전자학술대회 논문집 Vol.1999 No.7
A new control method for precision robust position control of a brushless DC (BLDC) motor using asymptotically stable adaptive load torque observer is presented in the paper. Precision position control is obtained for the BLDC motor system approximately linearized using the field-orientation method Recently, many of these drive systems use BLDC motors to avoid backlashes. However, the disadvantages of the motor are high cost and complex control because of nonlinear characteristics. Also, th load torque disturbance directly affects the motor shaft The application of the load torque observer is published in [1] using fixed gain. However, the motor flux linkage is not exactly known for a load torque observer. There is the problem of uncertainty to obtain very high precision position control Therefore a model reference adaptive observer is considered to overcome the problem of unknown parameter and torque disturbance in this paper. The system stability analysis is carried out using Lyapunov stability theorem. As a result, asymptotically stable observe gam can be obtained without affecting the overall<br/> system response. The load disturbance detected by the asymptotically stable adaptive observer is compensated by feed for warding the equivalent current WhICh gives fast response The experimenta results are presented in the paper.
신경망 보상기를 이용한 PMSM의 간단한 지능형 강인 위치 제어
고종선(Jong-Sun Ko),윤성구(Sung-Koo Youn),이태호(Tae-Ho Lee) 전력전자학회 2000 전력전자학술대회 논문집 Vol.2000 No.11
A very simple control approach using neural network for the robust position control of a Permanent Magnet Synchronous Motor(PMSM) is presented. The linear quadratic controller plus feedforward neural network is employed to obtain the robust PMSM system approximately liearized using field-orientation method for an AC servo. The neural network is trained in on-line phases and this neural network IS composed by a feedforward recall and error back-propagation training Since the total number of nodes are only eight, this system can be easily realized by the general microprocessor. During the nonnal operation, the input-output response is sampled and the weighting value is trained multi-times by error back-propagation method at each sample period to accommodate the possible variations in the parameters or load torque And the state space analysis is performed to obtain the state feedback gains systematically In addition, the robustness IS also obtained without affecting overall system response This method IS realized by a floating-point Digital Signal Processor DS1102 Board (TMS320C31J. The basic DSP software is used to write C program, which is compiled by using ANSI -C style function prototypes
외란관측기와 파라미터 보상기를 이용한 PMSM의 정밀속도제어
고종선(Jong-Sun Ko),이태호(Tae-Ho Lee) 전력전자학회 2000 전력전자학술대회 논문집 Vol.2000 No.11
This paper presents external load disturbance compensation that used to deadbeat load torque observer and regulation of the compensation gain by parameter estimator As a result, the response of PMSM follows that of the nominal plant. The load torque compensation method is compose of a deadbeat observer that is well-known method. But that has disadvantage such as a noise amplification effect. To reduce of the effect, the post-filter, which is implemented by MA process, is proposed. The parameter compensator which is used the RLSM (recursive least square Method) parameter estimator is suggested to increase the performance of the load torque observer and main controller. Although RLSM estimator is one of the most effective methods for online parameter identification, it is difficult to obtain unbiased result in this application. This is caused by that external load torque disturbs the dynamic model. But the proposed RLSM estimator is combined with a high performance torque observer to resolve the above difficulty. As a result, the proposed control system becomes a robust and precise system against the load torque and the parameter variation. A stability and usefulness, through verified computer simulation, experiment, are shown in this paper.
망막의 3차원 실시간 영상화를 위한 고속 동기제어 시스템 개발
고종선(Jong-Sun Ko),김영일(Young-Il Kim),이용재(Yong-Jae Lee) 전력전자학회 2002 전력전자학술대회 논문집 Vol.- No.-
To show a retina shape and thickness on the computer, a laser has been used in Scanning Laser Ophthalmoscope (SLO) equipment using the travelling difference. This method requires exact synchronize control of laser travelling In optic system to show this image In this study, a synchronize control of the galvanometer to make 3-dimentional retina image To obtain a clear 3-dimentional Image, this exact synchronism is very Important for making perfect plane scanning.
신경망 외란관측기와 파라미터 보상기를 이용한 PMSM의 속도제어
고종선(Jong-Sun Ko),이용재(Yong-Jae Lee),김규겸(Kyu-Gyeom Kim) 전력전자학회 2001 전력전자학술대회 논문집 Vol.2001 No.7
This paper presents neural load disturbance observer that used to deadbeat load torque observer and regulation of the compensation gain by parameter estimator. As a result, the response of PMSM follows that of the nominal plant. The load torque compensation method is compose of a neural deadbeat observer. To reduce of the noise effect, the post-filter, which is implemented by MA process, is proposed. The parameter compensator with RLSM (recursive least square method) parameter estimator is suggested to increase the performance of the load torque observer and main controller. The proposed estimator is combined with a high performance neural torque observer to resolve the problems As a result, the proposed control system becomes a robust and precise system against the load torque and the parameter variation A stability and usefulness, through the verified computer simulation, are shown in this paper.