• Journal of the Institute of Convergence Signal Processing
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• v.8 no.3
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• pp.222-226
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• 2007

In this paper we composed the dual fuzzy rules using each region of specific points and $e-{\Delta}e$ phase plane In order to make dual fuzzy rule base. We composed the fuzzy control rules which can decrease rise time, delay time, maximum overshoot than basic fuzzy control rules. proposed method is alternately use at specific points of $e-{\Delta}e$ phase plane with two fuzzy control rules that is one control rule occruing the steady state error in transient region and another fuzzy control rule use to decrease the steady state error and rapidly converge at the convergence region. Also, two fuzzy control rules in the $e-{\Delta}e$ phase plane decide the change time according to response characteristics of plants. In order to confirm thef proposed algorithm. As the results of experiments through the hydraulic servo motor control system with a DSP processor, We verified that proposed dual fuzzy control rules get the good response compare with the basic fuzzy control rule.

• Journal of Advanced Marine Engineering and Technology
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• v.34 no.1
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• pp.109-115
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• 2010

This paper deals with trajectory control of computer simulated mobile robot via fuzzy control. Mobile robot is controlled by Mamdani type fuzzy controller. Inputs of the fuzzy controller are angle between mobil robot and target, changed angle and output is the steering angle, which is control input. Fuzzy rules have seven rules and are selected by human experiential knowledge. Also we propose a scaling factors tuning scheme which is the another focus in designing fuzzy controller. In this paper, we adapt the RCGA which is well known in parameter optimization to adjust scaling factors. The simulation results show that the fuzzy control effectively realize trajectory stabilization of the mobile robot along a given reference target from various initial steering angles.

• Journal of the Korean Institute of Intelligent Systems
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• v.9 no.6
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• pp.634-643
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• 1999

This paper concerns an implementation of f~rry logic controller (FLC') on a reconfigurahle FP

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.3
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• pp.53-61
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• 2006

This paper is proposed adaptive fuzzy-neuro controller for high performance of induction motor drive. The design of this algorithm based on fuzzy-neural network controller that is implemented using fuzzy control and neural network. This controller uses fuzzy nile as training patterns of a neural network. Also, this controller uses the back-propagation method to adjust the weights between the neurons of neural network in order to minimize the error between the command output and actual output. A model reference adaptive scheme is proposed in which the adaptation mechanism is executed by fuzzy logic based on the error and change of error measured between the motor speed and output of a reference model. The control performance of the adaptive fuzzy-neuro controller is evaluated by analysis for various operating conditions. The results of experiment prove that the proposed control system has strong high performance and robustness to parameter variation, and steady-state accuracy and transient response.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.802-804
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• 2005

지능 시스템에 사용되는 퍼지 데이터를 고속으로 처리하기 위한 퍼지 제어시스템의 중요한 문제점들 중의 하나는 퍼지 추론 및 비퍼지화 단계에서의 수행속도의 개선이다. 특히 후건부의 계산 및 비퍼지화 단계에서의 고속 연산이 더욱 중요하다. 따라서 본 논문에서는 퍼지 제어기의 속도향상을 위해 후건부 단계에서 [0,1]의 실수 연산을 하지 않고, 퍼지 소속함수의 값을 정수형 격자 (400×30)에 매핑시켜 고속의 정수 덧셈 연산만으로 수행할 수 있는 알고리듬을 제안한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.150-153
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• 2000

본 논문에서는 퍼지규칙의 수가 적고, 결론부가 선형식으로 표현되는 TSK 퍼지시스템을 이용한다. 본 논문에서 제안되는 적응제어 방법은 규범모델 적응제어 기법을 응용한 것으로 Lyapunov함수를 이용하여 안정성문제를 해결하면서 동시에 최적의 적응법칙을 유도 할 수 있도록 설계되었다. 그리고 역진자 시스템에 대해서 시뮬레이션을 통해 제안된 적응 퍼지제어기의 설계 방법이 유효함을 보인다.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.2853-2855
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• 1999

본 논문은 TS(Takagi-Sugeno) 퍼지 모델로 표현된 비선형 시스템의 최적 퍼지 제어에 관한 새로운 설계 방법론을 제시하며, 최적 TS 퍼지 제어기의 매개 변수들을 설정하는 문제가 선형 행렬 부등식 문제로 표현될 수 있음을 보인다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.2 no.4
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• pp.29-36
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• 2009

The fuzzy controller of the FFH(Fuel Fired Heater) used for vehicle is designed in this study. Two of the most important things of the pre-heater are how fast it can be at the set temperature and how to reduce the temperature deviation in the space to a minimum. The temperature deviation of the existed FFH with PI controller for temperature controller was reduced. Also, the fuzzy controller improved the response characteristics, and then the performance was inspected. When setting the temperature in this designed fuzzy controller, it took 12 minutes in the existed PI control method to reach $25^{\circ}C$. However, it took 9 minutes and 20 seconds in the fuzzy control method. Therefore, it is proved that the fuzzy controller is better than the existed one with fast response performance as 2 minutes 40 seconds. The temperature deviation was $2.4^{\circ}C$ in the existed control method but $1.6^{\circ}C$ in the designed fuzzy controller. Accordingly, the temperature deviation was improved too.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.10
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• pp.17-24
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• 1999

본 논문에서는 새로운 적응 퍼지 슬라이딩 모드제어 방법을 제시하였다. 제어기는 정확한 수확적인 모델이 없이도 점근적으로 시스템을 안정화시킬 수 있으며 적분항을 포함시킴으로서 정상상태에서의 오차를 좀 더 줄일 수가 있다. 직접구동모터는 감쇄기어가 없어서 부하나 외란 토크의 변화에도 모터 역학에 직접적으로 많은 영향을 줄 수가 있다. 제어기의 실제성능을 확인하기 위하여 불확실한 부하나 변소를 갖는 직접구동모터의 위치제어에 적용하였다.

• Electronics and Telecommunications Trends
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• v.10 no.1 s.35
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• pp.59-68
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• 1995

다른 산업공정에서 사용하는 제어기보다 더 빠르고 정밀한 위치 제어가 필요한 선형 DC모터 제어기에 비례 제어와 퍼지 제어의 모의 실험을 통하여 위치응답특성을 비교하고 위치 제어계에 대한 퍼지제어알고리즘의 적용 가능성을 기술하였다.