• 제목/요약/키워드: Fuzzy Logic System

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Design of a Fuzzy Logic Controller for a Rotary-type Inverted Pendulum System

  • Park, Byung-Jae;Ryu, Chun-ha;Choi, Bong-Yeol
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제2권2호
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    • pp.109-114
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    • 2002
  • Various inverted pendulum systems have been frequently used as a model for the performance test of the proposed control system. We first identify a rotary-type inverted pendulum system by the Euler-Lagrange method and then design a FLC (Fuzzy Logic Controller) fur the plant. FLC`s are one of useful control schemes fur plants having difficulties in deriving mathematical models or having performance limitations with conventional linear control schemes. Many FLC`s imitate the concept of conventional PD (Proportional-Derivative) or PI (Proportional-Integral) controller. That is, the error e and the change-of-error are used as antecedent variables and the control input u the change of control input Au is used as its consequent variable for FLC`s. In this paper we design a simple-structured FLC for the rotary inverted pendulum system. We also perform some computer simulations to examine the tracking performance of the closed-loop system.

Co-Evolution of Fuzzy Rules and Membership Functions

  • Jun, Hyo-Byung;Joung, Chi-Sun;Sim, Kwee-Bo
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.601-606
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    • 1998
  • In this paper, we propose a new design method of an optimal fuzzy logic controller using co-evolutionary concept. In general, it is very difficult to find optimal fuzzy rules by experience when the input and/or output variables are going to increase. Futhermore proper fuzzy partitioning is not deterministic ad there is no unique solution. So we propose a co-evolutionary method finding optimal fuzzy rules and proper fuzzy membership functions at the same time. Predator-Prey co-evolution and symbiotic co-evolution algorithms, typical approaching methods to co-evolution, are reviewed, and dynamic fitness landscape associated with co-evolution is explained. Our algorithm is that after constructing two population groups made up of rule base and membership function, by co-evolving these two populations, we find optimal fuzzy logic controller. By applying the propose method to a path planning problem of autonomous mobile robots when moving objects applying the proposed method to a pa h planning problem of autonomous mobile robots when moving objects exist, we show the validity of the proposed method.

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MRAS Speed Estimator Based on Type-1 and Type-2 Fuzzy Logic Controller for the Speed Sensorless DTFC-SVPWM of an Induction Motor Drive

  • Ramesh, Tejavathu;Panda, Anup Kumar;Kumar, S. Shiva
    • Journal of Power Electronics
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    • 제15권3호
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    • pp.730-740
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    • 2015
  • This paper presents model reference adaptive system speed estimators based on Type-1 and Type-2 fuzzy logic controllers for the speed sensorless direct torque and flux control of an induction motor drive (IMD) using space vector pulse width modulation. A Type-1 fuzzy logic controller (T1FLC) based adaptation mechanism scheme is initially presented to achieve high performance sensorless drive in both transient as well as in steady-state conditions. However, the Type-1 fuzzy sets are certain and cannot work effectively when a higher degree of uncertainties occurs in the system, which can be caused by sudden changes in speed or different load disturbances and, process noise. Therefore, a new Type-2 FLC (T2FLC) - based adaptation mechanism scheme is proposed to better handle the higher degree of uncertainties, improve the performance, and is also robust to different load torque and sudden changes in speed conditions. The detailed performance of different adaptation mechanism schemes are performed in a MATLAB/Simulink environment with a speed sensor and sensorless modes of operation when an IMD is operates under different operating conditions, such as no-load, load, and sudden changes in speed. To validate the different control approaches, the system is also implemented on a real-time system, and adequate results are reported for its validation.

DRIVING CONTROLOF A VISUAL SYSTEM

  • Sugisaka, Masanori;Hara, Masayoshi
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.131-134
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    • 1995
  • We developed a visual system that is able to track the moving objects within a certain range of errors. The visual system is driven by two DC servo motors that are controlled by a computer based on the visual data obtained from a CCD video camera. The software to track the moving objects is developed based on the PWM of the DC motors. Also, the problems how to implement a fuzzy logic control method and a neural network in this system, are also considered in order to check the control performance of tracking. The fuzzy logic algorithm is a powerful control technique for nonlinear dynamical system and also the neural network could be implemented in this system. In this paper, we present configuration of tracking system developed in our laboratory, the control methods of the visual system and the experimental results are shown.

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A Fuzzy Neural Network: Structure and Learning

  • Figueiredo, M.;Gomide, F.;Pedrycz, W.
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.1171-1174
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    • 1993
  • A promising approach to get the benefits of neural networks and fuzzy logic is to combine them into an integrated system to merge the computational power of neural networks and the representation and reasoning properties of fuzzy logic. In this context, this paper presents a fuzzy neural network which is able to code fuzzy knowledge in the form of it-then rules in its structure. The network also provides an efficient structure not only to code knowledge, but also to support fuzzy reasoning and information processing. A learning scheme is also derived for a class of membership functions.

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훼손된 시계열 데이터 분석을 위한 퍼지 시스템 융합 연구 (Fused Fuzzy Logic System for Corrupted Time Series Data Analysis)

  • 김동원
    • 사물인터넷융복합논문지
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    • 제4권1호
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    • pp.1-5
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    • 2018
  • 본 논문에서는 노이즈에 의해 훼손된 시계열 데이터의 모델링에 대하여 다룬다. 모델링 기법으로, 논싱글톤 퍼지 시스템을 사용한다. 논싱글톤 퍼지 시스템의 주요특징은 미지의 비선형시스템의 입력이 퍼지값으로 모델링 된다는데 있다. 그러므로 퍼지시스템에 인가되는 학습데이터나 입력데이터 등이 노이즈나 외부 환경에 의해 변형된 경우에 매우 유용하게 적용될 수 있다. 성능비교를 위해 벤치마크 데이터로 잘 알려진 Mackey-Glass 데이터를 사용한다. 이들 데이터 모델링을 통하여 결과를 비교, 분석하여 논싱글톤 퍼지시스템이 잡음에 대하여 보다 강인하고 효율적임을 본 논문에서 보인다.

퍼지로직을 이용한 무인항공기의 충돌 회피 (Fuzzy Logic Based Collision Avoidance for UAVs)

  • 장대수;김종성;조신제;탁민제;구훤준
    • 한국항공우주학회지
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    • 제34권7호
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    • pp.55-62
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    • 2006
  • 본 논문에서는 국제민간항공기구와 미연방항공청에서 규정한 "Right of way" 규정과 조종사의 경험을 바탕으로 한 퍼지로직을 이용한 무인항공기의 충돌회피를 다루고 있다. 이 규정을 적용하기 위해 퍼지로직을 이용한 충돌회피 시스템을 설계하였다. 그리고 충돌회피 시스템이 작동할 조건을 위해 결심로직을 설계하였다. 결심로직은 상대방위, CPA까지의 시간, CPA에서의 거리 등 세가자의 중요 요소로 구성되어 있다. 결심로직의 적용은 NMAC를 회피하기위해 설계 되어졌으며 몇 가지 시뮬레이션을 통하여 검증하였다. 결론적으로 본 논문에서는 일반공역에서 유인항공기와 함께 비행할 수 있도록 무인항공기의 "See and Avoid" 능력을 수행할 수 있는 방법을 제안하였다.

An Efficient Control Strategy Based Multi Converter UPQC using with Fuzzy Logic Controller for Power Quality Problems

  • Paduchuri, Chandra Babu;Dash, Subhransu Sekhar;Subramani, C.;Kiran, S. Harish
    • Journal of Electrical Engineering and Technology
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    • 제10권1호
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    • pp.379-387
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    • 2015
  • A custom power device provides an integrated solution to the present problems that are faced by the utilities and power distribution. In this paper, a new controller is designed which is connected to a multiconverter unified power quality conditioner (MC-UPQC) for improving the power quality issues adopted modified synchronous reference frame (MSRF) theory with Fuzzy logic control (FLC) technique. This newly designed controller is connected to a source in order to compensate voltage and current in two feeders. The expanded concept of UPQC is multi converter-UPQC; this system has a two-series voltage source inverter and one shunt voltage source inverter connected back to back. This configuration will helps mitigate any type of voltage / current fluctuations and power factor correction in power distribution network to improve power quality issues. In the proposed system the power can be conveyed from one feeder to another in order to mitigate the voltage sag, swell, interruption and transient response of the system. The control strategies of multi converter- UPQC are designed based on the modified synchronous reference frame theory with fuzzy logic controller. The fast dynamics response of dc link capacitor is achieved with the help of Fuzzy logic controller. Different types of fault conditions are taken and simulated for the analysis and the results are compared with the conventional method. The relevant simulation and compensation performance analysis of the proposed multi converter-UPQC with fuzzy logic controller is performed.

퍼지를 이용한 인간형 능동 청각 시스템 (Humanoid Active Audition System Using the Fuzzy Logic System)

  • 김현돈;최종석;이창훈;박귀태;김문상
    • 제어로봇시스템학회논문지
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    • 제9권5호
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    • pp.390-397
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    • 2003
  • We propose a humanoid active audition system which detects the direction of sound using just three microphones. Compared with previous researches, this system which has a simpler algorithm and less microphone shows better performance. Moreover, it uses the fuzzy logic system to remove the reflective sound and makes the resultant improvement of confidence. In order to verify our system's performance, we install the proposed active audition system to the home service robot, called hombot II, which has been developed at the KIST(Korea Institute of Science and Technology), and confirm its excellent performance through the experiment.

Application of Lyapunov Theory and Fuzzy Logic to Control Shunt FACTS Devices for Enhancing Transient Stability in Multimachine System

  • Kumkratug, P.
    • Journal of Electrical Engineering and Technology
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    • 제7권5호
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    • pp.672-680
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    • 2012
  • This paper proposes the control strategy of the shunt Flexible AC Transmission System (FACTS) devices to improve transient stability in multimachine power system. The multimachine power system has high nonlinear response after severe disturbance. The concept of Lyapunov energy function is applied to derive nonlinear control strategy and it was found that the time derivative of line voltage is not only can apply to control the shunt FACTS devices in multimachine system but also is locally measurable signal. The fuzzy logic control is also applied to overcome the uncertainty of various disturbances in multimachine power system. This paper presents the method of investigating the effect of the shunt FACTS devices on transient stability improvement. The proposed control strategy and the method of simulation are tested on the new England power system. It was found that the shunt FACTS devices based on the proposed nonlinear control strategy can improve transient stability of multimachine power system.