• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1854-1855
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• 2011

BLDC 전동기의 제어는 홀소자의 정보를 이용하여 적절한 상전류 전환을 통해서 쉽게 회전시킬 수가 있다. BLDC 전동기는 직류 전동기와 비슷하게 인가된 전압에 따라 간단하게 속도를 제어가 가능하고 BLDC 전동기의 토크를 제어를 위해 내부에 전류 제어기를 갖는다. 하지만 불확실성과 외란의 영향으로 제어 시 어려움을 겪는다. 따라서 본 논문에서는 외란의 영향을 억제하는 방법으로 강인 제어 기법을 제안하여 불확실성과 외란의 영향을 억제하는 강인한 전류제어의 방법을 제시하며, 시뮬레이션을 통해 강인제어의 방법을 증명한다.

• The Transactions of the Korean Institute of Power Electronics
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• v.16 no.4
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• pp.317-325
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• 2011

In this paper a robust voltage controller for a single-phase UPS inverter is newly presented. The voltage controller is designed using ${\mu}$-based robust control scheme to simultaneously guarantee robust stability and robust tracking performance in the presence of load variations. Firstly the robust performance of the resulting controller is theoretically confirmed via ${\mu}$-analysis. Then simulations and experiments for the single-phase inverter system with linear and nonlinear loads demonstrate feasibility of the proposed control method providing improved performance - good regulation and fast dynamic response.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.14 no.1
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• pp.89-93
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• 2000

Robust control for DC motor is needed according to the highest precision of industrial automation. However, when a motor control system has an effect of load disturbance, it is very difficult to guarantee the robustness of control system. Generally, it is known that sliding mode controller has robustness. But, after it is assumed that we known the disturbance uncertainty, sliding mode controller is designed. Thereafter, if we are not known th disturbance uncertainty then controller design is difficult. As a method solving this problem, in this paper, Expert sliding mode control method for motor control system is presented.The proposed controller can eliminate load disturbance effectively. The effectiveness of the control scheme is verified by simulation results.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.1
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• pp.85-89
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• 2004

Robust control for feedback control system is needed according to the highest precision of industrial automation. However, when a neural network feedback control system has an effect of disturbance, it is very difficult to guarantee the robustness of control system. As a compensation method solving this problem, in this paper, hybrid control method of neural network controller and PID controller is presented. A neural network controller is operated as a main controller, a PID controller is a assistant controller which operates only when some undesirable phenomena occur, e.q., when the error hit the boundary of constraint set. The robust control function of neural network-PID hybrid controller is demonstrated by speed control of Motor.

• The Journal of the Korea institute of electronic communication sciences
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• v.3 no.4
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• pp.266-275
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• 2008

The sensorless speed control technique for BLDC motor using digital IP control is proposed in this paper for advanced speed characteristic which is robust to motor parameters and load variations. The sensorless drive of BLDC motor using terminal voltages is affected by load or speed because it uses analog filters to estimate the rotor position. For this reason, the robust speed controller with the accurate rotor position estimator is needed for sensorless control which is robust to load and insensitive to motor parameters. The constant speed robust to load variation and the stable sensorless control of BLDC motor robust to the increase or decrease of speed with constant load is implemented using digital IP control in this paper. The validity to these is established with experimentation.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.12 no.1
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• pp.111-116
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• 1998

Robust control for DC servo motor is needed according to the highest precision of industrial automation. However, when a motor control system with PID controller has an effect of load disturbance, it is very difficult to guarantee the robustness of control system. As a compensation method solving this problem, in this paper, PID-neural network hybrid control method for motor control system is presented. The output of neural network controller is determined by error and rate of error change occurring in load disturbance. The robust control of DC servo motor using neural network controller is demonstrated by computer simula tion.a tion.

• ICROS
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• v.6 no.5
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• pp.54-63
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• 2000

본 논문에서는 모델 불확정성을 가진 이산사건시스템의 강인 관리제어이론에 대해 알아본다. 지금까지 연구된 불확정성 이산사건시스템은 크게 두 부류로 구분된다. 첫째는 다중 모델의 집합으로 표현되는 불확정성 시스템으로서 제어 대상이 되는 시스템의 동적 특성이 몇 가지의 가능한 이산사건 모델들의 집합으로 기술되는 시스템이다. 두 번째는 비결정성 시스템으로서 시스템의 한 상태에서 하나의 동일 사건발생에 의해 천이되는 상태가 두가지 이상이 존재하여 상태천이에 있어 불확정성이 존재하는 시스템이다. 본 논문에서는 두가지 형태의 불확정성 이산사건 시스템들에 대한 강인 관리제어기 설계문제에 대해 살펴보고, 강인 관리 제어 이론에 대한 최근의 연구동향과 발전 방향에 대해 소개한다.

• Proceedings of the KIEE Conference
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• 1998.11b
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• pp.469-471
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• 1998

이논문은 입력과 상태변수에 제한조건이 있는 이산형 불확실 선형 시스템을 위한 강인한 이동구간 제어기를 제시한다. 모델 변수는 콘벡스 집합에 속하는 불확실성 성질을 갖는다. 제안된 이동구간 제어기는 터미널 가중치 행렬들과 입력과 상태변수의 제한조건을 가지는 최악의 일단계 목적함수의 최소화에 기초한다. 제안된 이동구간 제어기는 위의 불확실한 시스템을 일정한 터미널 가중치 행렬에 대한 행렬 부등식 조건하에서 안정화 시킬수 있다는 것을 보인다. 이 강인 이동구간 제어기는 기존의 무한 구간 강인 이동구간 제어기보다 같은 설계 조건하에서 보다 더 일반적인 구조와 더 큰 간으한 초기 상태 영역을 갖는다. 이 제시된 이동구간 제어기는 반한정 프로그래밍을 이용하여 얻어진다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.3
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• pp.15-21
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• 2009

In this paper, we consider the design problem of robust stabilization and robust guaranteed cost state feedback controller for discrete-time singular systems with parameter uncertainties by LMI(linear matrix inequality) approach without semi-definite condition and decomposition of system matrices. The objective of robust stabilization controller is to construct a state feedback controller such that the closed-loop system is regular, causal, and stable. In the case of robust guaranteed cost control, the optimal value of guaranteed cost and controller design method are presented on the basis of robust stabilization control technique. Finally, a numerical example is provided to show the validity of the design methods.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.12 no.4
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• pp.122-127
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• 1998

Robust control for DC motor is needed according to the highest precision of industrial automation. However, when a motor control system has an effect of load disturbance, it is very difficult to guarantee the robustness of control system. The sliding mode control has robustness, but the discontinuous control law in sliding mode control with robustness leads to undesirable chattering in practice. As a method solving this problem, in this paper, neural network sliding mod control method for motor control system is presented. The proposed controller effectively can eliminate load disturbance without chattering. The effectiveness of the control scheme is verified by simulation results.