• Title/Summary/Keyword: Dual fuzzy logic

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Fuzzy Connections and Relations in Complete Residuated Lattices

  • Kim, Yong Chan
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.13 no.4
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    • pp.345-351
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    • 2013
  • In this paper, we investigate the properties of fuzzy Galois (dual Galois, residuated, and dual residuated) connections in a complete residuated lattice L. We give their examples. In particular, we study fuzzy Galois (dual Galois, residuated, dual residuated) connections induced by L-fuzzy relations.

A Design for Elevator Group Controller of Building using Adaptive Dual Fuzzy Algorithm (Adaptive Dual Fuzzy 알고리즘을 이용한 빌딩의 엘리베이터 군 제어기 설계)

  • 최승민;김훈모
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.578-581
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    • 2001
  • In this paper, the development of a new group controller for high-speed elevator is carried out utilizing approach of an adaptive dual fuzzy logic. A goals of control are the minimization of waiting time, mean-waiting time and long-waiting time in a building. when a new hall call is generated, adaptive dual fuzzy controller evaluate traffic pattern and change appropriately the membership function of fuzzy rule base. Control for co-operation among elevators in group control algorithm are essential, and the most critical control function in group controller is a effective and proper hall call assignment of elevators. Thy group elevator system utilizing adaptive dual fuzzy control reveals a great deal of improvement on its performance.

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A Simulation of Elevator Group Controller using Adaptive Dual Fuzzy Algorithm (Adaptive Dual Fuzzy 알고리즘을 이용한 엘리베이터 군 제어 시뮬레이션)

  • 최승민;김훈모
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.157-160
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    • 2000
  • In this paper, the development of a new group controller for high-speed elevator is carried out utilizing approach of an adaptive dual fuzzy logic. A goals of control are the minimization of waiting time, mean-waiting time and long-waiting time in a high building, when a new hall call is generated, adaptive dual fuzzy controller evaluate traffic pattern and change appropriately the membership function of fuzzy rule, base. Control for co-operation among elevators in group control algorithm are essential , and the most critical control function in group controller is a effective and proper hall call assignment of elevators. The group elevator system utilizing adaptive dual fuzzy control reveals a great deal of improvement on its performance.

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A Design for Elevator Group Controller of Building Using Adaptive Dual Fuzzy Algorithm

  • Kim, Hun-Mo
    • Journal of Mechanical Science and Technology
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    • v.15 no.12
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    • pp.1664-1675
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    • 2001
  • In this paper, the development of a new group controller for high-speed elevators is described utilizing the approach of adaptive dual fuzzy logic. Some goals of the control are to minimize the waiting time, mean-waiting time and long-waiting time in a building. When a new hall call is generated, all adaptive dual fuzzy controller evaluates the traffic patterns and changes the membership function of a fuzzy rule base appropriately. A control algorithm is essential to control the cooperation of multiple elevators in a group and the most critical control function in the group controller is an effective and proper hall call assignment of the elevators. The group elevator system utilizing adaptive dual fuzzy control clearly performs more effectively than previous group controllers.

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Self-Tuning Fuzzy Logic Controller for a Dual Star Induction Machine

  • Merabet, Elkheir;Amimeur, Hocine;Hamoudi, Farid;Abdessemed, Rachid
    • Journal of Electrical Engineering and Technology
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    • v.6 no.1
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    • pp.133-138
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    • 2011
  • This paper proposes a simple but robust self-tuning fuzzy logic controller for the speed regulation of a dual star induction machine based on indirect field oriented control. For feed the two star of this machine, two voltage source inverters based on sinus-triangular pulse-width modulation techniques are introduced. The simulation results show the robustness and good performance of the proposed controller.

Real-Time Fuzzy Control for Dual-Arm with 8 Joints Robot Using the DSPs(TMS320C80) (DSPs(TMS320C80)을 이용한 8축 듀얼 아암 로봇의 실시간 퍼지제어)

  • 한성현;김종수
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.13 no.1
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    • pp.35-47
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    • 2004
  • In this paper presents a new approach to the design and real-time implementation of fuzzy control system based-on digital signal processors(DSP:IMS320C80) in order to improve the precision and robustness for system of industrial robot(Dual-Arm with 8 joint Robot). The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. The IMS320C80 is used in implementing real time fuzzy control to provide an enhanced motion control for robot manipulators. In this paper, a Self-Organizing Fuzzy Controller(SOFC) for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variables of the controller. In the synthesis of a FLC(Fuzzy Logic Controller), one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult SOFC is proposed for a hierarchical control structure consisting of basic and high levels that modify control rules. The proposed SOFC scheme is simple in structure, Int in computation, and suitable for implementation of real-time control. Performance of the SOFC is illustrated by simulation and experimental results for a Dual-Arm robot with eight joints.

A study on Elevator Group Controller of High Building using Adaptive Dual Fuzzy Algorithm (Adaptive Dual Fuzzy 알고리즘을 이용한 고층 빌딩의 엘리베이터 군 제어에 관한 연구)

  • Choi, Seung-Min;Kim, Hum-Mo
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.4
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    • pp.112-120
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    • 2001
  • In this paper, the development of a new group controller for high-speed elevator is carried out utilizing the approach of an adaptive dual fuzzy logic. Some goals of control are the minimization of waiting time, mean-waiting time and long-waiting time in a high building, when a new hall call is generated, adaptive dual fuzzy controller evaluate traffic pattern and change appropriately the membership function of a fuzzy rule base. Controls for co-operation among elevators in a group control algorithm arte essential, and the most critical control function in the group controller is an effective and proper hall call assignment of elevators. The group elevator system utilizing adaptive dual fuzzy control reveals a great deal of improvement on its performance.

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Implementation of Real-Time Fuzzy Controller for SCARA Type Dual-Arm Robot (스카라형 이중 아암 로봇의 실시간 퍼지제어기 실현)

  • Kim Hong-Rae;Han Sung-Hyun
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.12
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    • pp.1223-1232
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    • 2004
  • We present a new technique to the design and real-time implementation of fuzzy control system basedon digital signal processors in order to improve the precision and robustness for system of industrial robot in this paper. The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. The TMS320C80 is used in implementing real time fuzzy control to provide an enhanced motion control for robot manipulators. In this paper, a Self-Organizing Fuzzy Controller for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variables of the controller. In the synthesis of a Fuzzy Logic Controller, one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult Self-Organizing Fuzzy Controller is proposed for a hierarchical control structure consisting of basic and high levels that modify control rules. The proposed Self-Organizing Fuzzy Controller scheme is simple in structure, fast in computation, and suitable for implementation of real-time control. Performance of the SOFC is illustrated by simulation and experimental results for a Dual-Arm robot with eight joints.

Fault Diagnosis Algorithm of an Air-conditioning System by using a Neural No-fault Model and a Dual Fuzzy Logic (신경망무고장모델과 이중퍼지로직을 사용한 냉방기 고장진단 알고리즘)

  • Han Do-Young;Jung Nam-Chul
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.18 no.10
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    • pp.791-799
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    • 2006
  • The fault diagnosis technologies may be applied in order to decrease the energy consumption and the maintenance cost of an air-conditioning system. In this paper, a fault diagnosis algorithm was developed by using a neural no-fault model and a dual fuzzy logic. Five different faults, such as the compressor valve leakage, the liquid line blockage, the condenser fouling, the evaporator fouling, and the refrigerant leakage of an air-conditioning system, were considered. The fault diagnosis algorithm was tested by using a fault simulation facility. Test results showed that the algorithm developed for this study was effective to detect and diagnose various faults. Therefore, this algorithm may be practically used for the fault diagnosis of an air-conditioning system.