• 제목/요약/키워드: Intelligent Response System

검색결과 395건 처리시간 0.027초

Hybrid Intelligent System Using PSO/Bacterial Foraging and PID Controller Tuning

  • 김동화
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
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    • pp.22-34
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    • 2006
  • o GA-BF approach for improvement of learning and optimization in GA o GA-BF has better response on various test functions o Satisfactory PID controller tuning in AVR, motor vector control systems o Potentially useful in many practically important engineering optimization problems

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Material Recognition Using Temperature Response Curve Fitting and Fuzzy Neural Network

  • Young-C. Lim;Park, Jin-K;Ryoo, Young-J;Jang, Young-H;Kim, I-G.
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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    • pp.15-24
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    • 1995
  • This paper describes a system that can be used to recognize an unknown material regardless of the fuzzy neural network(FNN). There are some problems to realize the recognition system using temperature response. It requires too many memories to store the vast temperature response data and it has to be filtered to remove noise which occurs in experiment. And the temperature response is influenced by the change of ambient temperature. So, this paper proposes a practical method using curve fitting to remove above problems of memories and noise. and FNN is proposed to overcome the problem caused by the change of ambient temperature. Using the FNN which is learned by temperature responses on fixed ambient. Temperatures and known thermal conductivity, the thermal conductivity of the material can be inferred on various ambient temperatures. So the material can be recognized by the thermal conductivity.

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피에조밸브를 적용한 전자유압브레이크의 압력제어 (Advanced Pressure Control of Piezoelectric Valve on Electro-hydraulic Braking)

  • 독고종훈;박귀태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 제38회 하계학술대회
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    • pp.1576-1577
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    • 2007
  • As a intelligent valve piezoelectric valve is to applied to various fields of application. Piezoelectric valves have fast response time and good linearity for pressure control but its hysteresis displacement by its stack actuator influences on pressure control in electro-hydraulic braking. Solenoid valves are traditional element to control hydraulic pressure but this paper proposes piezoelectric valve for brake pressure control with hysteresis compensation.

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Feedback control of intelligent structures with uncertainties and its robustness analysis

  • Cao, Zongjie;Wen, Bangchun;Kuang, Zhenbang
    • Structural Engineering and Mechanics
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    • 제16권3호
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    • pp.327-340
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    • 2003
  • Variations in system parameters due to uncertainties of parameters may result in system performance deterioration and create system internal stability problems. Uncertainties in structural modeling of structures are often considered to ensure that the control system is robust with respect to response errors. So the uncertain concept plays an important role in the analysis and design of the engineering structures. In this paper, the active control of the intelligent structures with the uncertainties is studied and a new method for analyzing the robustness of systems with the uncertainties is presented. Firstly, the system with uncertain parameters is considered as the perturbation of the system with deterministic parameters. Secondly, the feedback control law is designed on the basis of deterministic system. Thirdly, perturbation analysis and robustness analysis of intelligent structures with uncertainties are discussed when the feedback control law is applied to the original system and perturbed system. Combining the convex model of uncertainties with the finite element method, the analysis theory of the robustness of intelligent structures with the uncertainties can be developed. The description and computation of the robustness of intelligent structures with uncertain parameters is obtained. Finally, a numerical example of the application of the present method is given to show the validity of the method.

T-S 퍼지 모델을 이용한 불확실한 카오스 시스템의 적응동기화 (T-S Fuzzy Model-Based Adaptive Synchronization of Chaotic System with Unknown Parameters)

  • 김재훈;박창우;김은태;박민용
    • 한국지능시스템학회논문지
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    • 제15권2호
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    • pp.270-275
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    • 2005
  • 본 논문은 퍼지 모델을 이용한 불확실한 카오스 시스템의 적응 동기화 기법을 제안한다. 카오스 동기화 시스템은 마스터 시스템과 슬레이브 시스템으로 구성되며 각각의 시스템은 Takagi-Sugeno (T-S) 퍼지 모델을 통해 표현된다. 마스터 시스템은 파라미터가 미리 알려지지 않은 불확실한 모델로 가정되므로 불확실한 파라미터를 추정하기 위해 적응 기법을 적용하여 슬레이브 시스템을 설계한다. 동기화 오차 시스템을 안정화하고 불확실한 파라미터를 추정하는 적응 규칙을 이용한 제어기를 설계하며 Lyapunov 이론을 통해 안정도를 해석한다. 제안된 퍼지 적응 동기화 기법의 효과를 확인하기 위해서 Duffing 시스템과 Lorenz 시스템에 대해 모의 실험을 수행한다.

AVR의 응답속도개선을 위한 제어기법에 관한 연구 (Control techniques for improving response of the AVR)

  • 이형기;김송현;김현수;김기량;김관형
    • 한국정보통신학회논문지
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    • 제19권11호
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    • pp.2534-2539
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    • 2015
  • 발전기의 전압조정장치(AVR)를 이용하여 전압을 조절하는 방식은 기존 아날로그방식과 교체중인 디지털방식을 나눌 수 있다. 일반적으로 브러쉬레스형의 여자시스템을 이용하여 전압을 조절할 경우 전부하에 대하여 전압변동을 작게 하여야 한다. AVR의 제어방법으로 PID(비례-적분-미분)제어방식이 많이 사용되고 있다. 그러나 이 제어기법은 제어대상에 대하여 제어기의 파라미터를 조절하여 과도응답을 줄이고 있다. 따라서 제어대상이 달라질 경우 다시 제어기의 파라미터를 다시 설정해야하는 문제점이 있다. 본 연구에서는 제어대상의 파라미터 변동에 대하여 제어기의 파라미터를 재설정 필요없이 iPID(intelligent PID)제어기를 이용하여 발전기 AVR시스템에 적용하여 전부하 시에도 전압변동이 작은 응답을 얻도록 설계하고 시뮬레이션과 실험을 통하여 과도응답을 개선하였다.

Intelligent Healthcare Service Provisioning Using Ontology with Low-Level Sensory Data

  • Khattak, Asad Masood;Pervez, Zeeshan;Lee, Sung-Young;Lee, Young-Koo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권11호
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    • pp.2016-2034
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    • 2011
  • Ubiquitous Healthcare (u-Healthcare) is the intelligent delivery of healthcare services to users anytime and anywhere. To provide robust healthcare services, recognition of patient daily life activities is required. Context information in combination with user real-time daily life activities can help in the provision of more personalized services, service suggestions, and changes in system behavior based on user profile for better healthcare services. In this paper, we focus on the intelligent manipulation of activities using the Context-aware Activity Manipulation Engine (CAME) core of the Human Activity Recognition Engine (HARE). The activities are recognized using video-based, wearable sensor-based, and location-based activity recognition engines. An ontology-based activity fusion with subject profile information for personalized system response is achieved. CAME receives real-time low level activities and infers higher level activities, situation analysis, personalized service suggestions, and makes appropriate decisions. A two-phase filtering technique is applied for intelligent processing of information (represented in ontology) and making appropriate decisions based on rules (incorporating expert knowledge). The experimental results for intelligent processing of activity information showed relatively better accuracy. Moreover, CAME is extended with activity filters and T-Box inference that resulted in better accuracy and response time in comparison to initial results of CAME.

Intelligent Tuning of PID Controller With Disturbance Rejection Using Bacterial Foraging

  • Kim, Dong-Hwa;Cho, Jae-Hoon
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2004년도 추계학술대회 학술발표 논문집 제14권 제2호
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    • pp.15-20
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    • 2004
  • In this paper, design approach of PID controller with rejection function against external disturbance in motor control system is proposed using bacterial foraging based optimal algorithm. Up to the present time, PID Controller has been used to operate for AC motor drive because of its implementational advantages in practice and simple structure. However, it is not easy to achieve an optimal PID gain with no experience, since the gain of the PID controller has to be manually tuned by trial and error in the industrial system with disturbance. To design disturbance rejection tuning, disturbance rejection conditions based on H$\_$$\infty$/ are illustrated and the performance of response based on the bacterial foraging is computed for the designed PID controller as ITSE (Integral of time weighted squared error). Hence, parameters of PID controller are selected by bacterial foraging based optimal algorithm to obtain the required response.

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Intelligent hybrid controlled structures with soil-structure interaction

  • Zhang, X.Z.;Cheng, F.Y.;Lou, M.L.
    • Structural Engineering and Mechanics
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    • 제17권3_4호
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    • pp.573-591
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    • 2004
  • A hybrid control system is presented for seismic-resistant building structures with and without soil-structure interaction (SSI). The hybrid control is a damper-actuator-bracing control system composed of passive and active controllers. An intelligent algorithm is developed for the hybrid system, in which the passive damper is designed for minor and moderate earthquakes and the active control is designed to activate when the structural response is greater than a given threshold quantity. Thus, the external energy for active controller can be optimally utilized. In the control of a multistory building, the controller placement is determined by evaluating the optimal location index (OLI) calculated from six earthquake sources. In the study, the soil-structure interaction is considered both in frequency domain and time domain analyses. It is found that the interaction can significantly affect the control effectiveness. In the hybrid control algorithm with intelligent strategy, the working stages of passive and active controllers can be different for a building with and without considering SSI. Thus SSI is essential to be included in predicting the response history of a controlled structure.

모바일 영어 학습을 위한 지능형 교육 시스템의 설계 (A Design of Intelligent Tutoring System for Mobile English Loaming)

  • 이영석;김병규;조정원;최병욱
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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    • pp.1681-1684
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    • 2003
  • We propose the intelligent tutoring system for the mobile english learning. The proposed system is based on the item response theory to analyze the level of learner. We define the types of item, teaching method and item disposition according to contents modeling. The system estimates the learner level and it gives the learning contents, the evaluation results, and feedback. The system gives those by inference engine which consists of learner's level estimation value, method diagnostic value and disposition diagnostic value.

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