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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
고종선(Jong-Sun Ko),김주환(Ju-Hwan Kim),윤성구(Sung-Koo Youn),이기원(Gi-Won Lee) 전력전자학회 2000 전력전자학술대회 논문집 Vol.2000 No.11
In this paper, a communication system that is not using the communication line but power line is presented. It will be very useful for an information-oriented society with tele-metering and home automation Conventional system has a difficulty in transmitting information due to decreasing communication voltage and increasing carner current. Proposed Idea is a special type switching amplifier system 'which has a low inner resistance. It can provide reactive power and does not have low impedance between the transceivers. This new system is proposed to overcome the loss of conductor load in a PLC system.