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Tracking Control of IPMSM based on Disturbance Observer
Yongho Jeon,Shinwon Lee 대한전자공학회 2023 IEIE Transactions on Smart Processing & Computing Vol.12 No.6
A state observer was designed to estimate the state variables required to control the speed, position, and current of the rotor shaft of a synchronous motor system with a permanent magnet rotor. When designing a state observer, an output equation is constructed with measurable state variables as output states among state variables. The state vector is estimated by designing the observer using the state equation and output equation, mathematical models of the motor system, and the Luenberger state observer. A PI controller is configured using the desired reference input and the estimated state to follow as feedback. The precise control performance can be obtained by following the reference speed of the motor. The controllers must be able to compensate for load fluctuations, various parameter errors, and model errors. For this purpose, a state observer was designed to estimate the state, including the disturbance using the Luenberger observer. Obtaining a state estimation error and speed tracking error within 0.1 [%] in the steady state was possible after applying the state estimator designed for a one-horsepower class IPMSM to the disturbancecompensated speed controller and current controller.
A Note on Linear SVM in Gaussian Classes
Jeon, Yongho The Korean Statistical Society 2013 Communications for statistical applications and me Vol.20 No.3
The linear support vector machine(SVM) is motivated by the maximal margin separating hyperplane and is a popular tool for binary classification tasks. Many studies exist on the consistency properties of SVM; however, it is unknown whether the linear SVM is consistent for estimating the optimal classification boundary even in the simple case of two Gaussian classes with a common covariance, where the optimal classification boundary is linear. In this paper we show that the linear SVM can be inconsistent in the univariate Gaussian classification problem with a common variance, even when the best tuning parameter is used.
THE SOC ESTIMATION OF THE LEAD-ACID BATTERY USING KALMAN FILTER
JEON, YONGHO The Korean Society for Computational and Applied M 2021 Journal of applied mathematics & informatics Vol.39 No.5
In general, secondary batteries are widely used as an electric energy source. Among them, the state of energy storage of mobile devices is very important information. As a method of estimating a state, there is a method of estimating the state by integrating the current according to an energy storage state of a battery, and a method of designing a state estimator by measuring a voltage and estimating a charge amount based on a battery model. In this study, we designed the state estimator using an extended Kalman filter to increase the precision of the state estimation of the charge amount by including the error of the system model and having the robustness to the noise.
PCBN 공구를 활용한 마이크로 레이저 예열 엔드밀링 가공 연구
전용호(Yongho Jeon),Frank Pfefferkorn 한국생산제조학회 2011 한국생산제조시스템학회 학술발표대회 논문집 Vol.2011 No.4
본 연구는 PCBN 팁으로 특별 제작된 엔드밀을 사용하여 완전 소결 된 질화 규소의 마이크로 레이저 예열 엔드밀링 공법에 대한 타당성 검증을 목적으로 진행하였다. 기존 초경 공구를 사용하여 가공이 불가 했던 재료를 레이저 국소적 가열과 PCBN 팁을 공구를 활용하여 성공적으로 가공 할 수 있었으나, 과도한 가공 분력과, 가공 시 발생하는 고온으로 인하여 공구가 빠르게 파손되었다. 하지만, 본 연구를 통해 확인된 국소적인 소성 변형의 증거를 통해 난삭재로 알려진 완전 소결된 질화 규소의 가공이 가능하다고 판단된다.