• 제목/요약/키워드: Fuzzy control technique

검색결과 522건 처리시간 0.035초

샘플치 데이터 퍼지 시스템의 다중레이트 제어기 (Multirate Control of Sampled-Data Fuzzy System)

  • 김도완;박진배;장권규;주영훈
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2004년도 하계학술대회 논문집 D
    • /
    • pp.2543-2545
    • /
    • 2004
  • In this paper, a new multirate digital control technique for the Takagi-Sugeno (T-S) fuzzy system is suggested. The proposed method takes account of the stabilizablity of the discrete-time T-S fuzzy system at the fast-rate sampling points. Our main idea is to utilize the lifted control input. The proposed approach is to obtain the multirate discrete-time T-S fuzzy system by discretizing the overall dynamics of the T-S fuzzy system with the lifted control, and then to derive the sufficient conditions for the stabilization in the sense of the Lyapunov asymptotic stability for this system. An example is provided for showing the feasibility of the proposed discretization method.

  • PDF

퍼지-뉴럴 제어기법에 의한 이동 로봇의 자율주행 제어시스템 개발 (Development of Automatic Cruise Control System of Mobile Robot Using Fuzzy-Neural Control Technique)

  • 김종수;한덕기;김영규;한성현
    • 한국공작기계학회:학술대회논문집
    • /
    • 한국공작기계학회 2001년도 춘계학술대회 논문집(한국공작기계학회)
    • /
    • pp.250-254
    • /
    • 2001
  • This paper presents a new approach to the design of cruise control system of a mobile robot with two drive wheel. The proposed control scheme uses a Gaussian function as a unit function in the fuzzy-neural network, and back propagation algorithm to train the fuzzy-neural network controller in the framework of the specialized learning architecture. It is proposed a learning controller consisting of two neural network-fuzzy based on independent reasoning and a connection net with fixed weights to simply the neural networks-fuzzy. The performance of the proposed controller is shown by performing the computer simulation for trajectory tracking of the speed and azimuth of a mobile robot driven by two independent wheels.

  • PDF

퍼지-뉴럴 제어기법을 이용한 이동형 로봇의 자율주행 제어시스템 개발 (Development of Automatic Cruise Control System of Mobile Robot Using Fuzzy-Neural Control Technique)

  • 김휘동;양승윤;전완수;안병국;한성현
    • 한국공작기계학회:학술대회논문집
    • /
    • 한국공작기계학회 2000년도 추계학술대회논문집 - 한국공작기계학회
    • /
    • pp.130-134
    • /
    • 2000
  • This paper presents a new approach to the design of cruise control system of a mobile robot with two drive wheel. The proposed control scheme uses a Gaussian function as a unit function in the fuzzy-neural network, and back propagation algorithm to train the fuzzy-neural network controller in the framework of the specialized learning architecture. It is proposed a learning controller consisting of two neural network-fuzzy based on independent reasoning and a connection net with fixed weights to simply the neural networks-fuzzy. The performance of the proposed controller is shown by performing the computer simulation for trajectory tracking of the speed and azimuth of a mobile robot driven by two independent wheels.

  • PDF

퍼지 추론을 이용한 디지털 재설계에 관한 연구 (Study on the Digital Redesign Using Fuzzy Inference Systems)

  • 권오국;장욱;주영훈;박진배;최윤호
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1998년도 하계학술대회 논문집 B
    • /
    • pp.506-508
    • /
    • 1998
  • In this paper, the optimal digital redesign is studied within the framework of fuzzy systems and dual-rate sampling control theory. An equivalent fast-rate discrete-time state-space model of the continuous-time system is constructed by using fuzzy inference systems. To obtain the optimal feedback gains developed in the continuous-time system, the constructed fuzzy system is converted into a continuous-time system. The developed continuous-time control law is converted into an equivalent slow-rate digital control law using the proposed digital redesign method. The digital redesign technique using a fuzzy model is employed to simulate the inverted pendulum dynamics.

  • PDF

Lyapunov-Based Fuzzy Control Scheme for Switched Reluctance Motor Drives

  • Safavian L.;Filizadeh S.;Emadi A.
    • 전력전자학회:학술대회논문집
    • /
    • 전력전자학회 2001년도 Proceedings ICPE 01 2001 International Conference on Power Electronics
    • /
    • pp.400-403
    • /
    • 2001
  • In this paper, the classical Lyapunov synthesis method for designing controllers is extended to fuzzy logic. This control technique is then applied to the design of a novel tracking controller for reluctance motor drives. The main features of the method are small rule base, simplicity of construction, and low cost. The proposed controller has been simulated for a model case. In addition, its dynamic performances have been shown to be satisfactory. Capabilities of the proposed technique in controlling the highly nonlinear systems of reluctance motors with much simplicity are also verified.

  • PDF

퍼지추론기법을 이용한 탱크 레벨 제어 (Tank Level Control using Fuzzy Inference Technique)

  • 지석준;전부찬;박두환;이준탁
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1997년도 하계학술대회 논문집 B
    • /
    • pp.724-727
    • /
    • 1997
  • This paper describes a control method of tank level using Fuzzy Inference Technique. In General, to control tank level without a dangerous overflow and with a high accuracy is difficult because of high order time delay and nonlinearity. None the less, the hardware controller using 80586 Microprocessor with DT-2801 board in this paper was successfully implemented, through a series of simulations and experiments, the superiority of the proposed fuzzy controller ta a conventional PID one was investigated.

  • PDF

Optimal Fuzzy Sliding-Mode Control for Microcontroller-based Microfluidic Manipulation in Biochip System

  • Chung, Yung-Chiang;Wen, Bor-Jiunn
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 2004년도 ICCAS
    • /
    • pp.196-201
    • /
    • 2004
  • In biometric and biomedical applications, a special transporting mechanism must be designed for the ${\mu}$TAS (micro total analysis system) to move samples and reagents through the microchannels that connect the unit procedure components in the system. An important issue for this miniaturization and integration is microfluid management technique, i.e., microfluid transportation, metering, and mixing. In view of this, this study presents an optimal fuzzy sliding-mode control (OFSMC) design based on the 8051 microprocessor and implementation of a complete microfluidic manipulated system implementation of biochip system with a pneumatic pumping actuator, a feedback-signal photodiodes and flowmeter. The new microfluid management technique successfully improved the efficiency of molecular biology reaction by increasing the velocity of the target nucleic acid molecules, which increases the effective collision into the probe molecules as the target molecules flow back and forth. Therefore, this hybridization chip was able to increase hybridization signal 6-fold and reduce non-specific target-probe binding and background noises within 30 minutes, as compared to conventional hybridization methods, which may take from 4 hours to overnight. In addition, the new technique was also used in DNA extraction. When serum existed in the fluid, the extraction efficiency of immobilized beads with solution flowing back and forth was 88-fold higher than that of free-beads.

  • PDF

유도전동기 드라이브의 고성능 제어를 위한 퍼지제어기의 설계 (Design of Fuzzy Control for High Performance of Induduction Motor Drive)

  • 이홍균;이정철;정동화
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2001년도 하계학술대회 논문집 B
    • /
    • pp.1179-1181
    • /
    • 2001
  • For high performance induction motor drives such as mill drives, elevator, spindle drive, NC and so on, smart speed controls is usually required, that requires a precise current control. This paper is proposes design of fuzzy controller which makes use of the output voltage of the space vector PWM inverter. Also, proposes the performance fuzzy controller for high performance vector control of induction motor drive system. The performance of a fuzzy controller is compared with that of an PI controller in an internal loop. The validity of the proposed technique is confirmed by simulation results for induction motor drive system.

  • PDF

샘플치 퍼지 제어기를 이용한 이산 퍼지 시스템 제어 (Sampled Fuzzy Controller for discrete networked control systems)

  • 송민국;박진배;김종선;주영훈
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2008년도 제39회 하계학술대회
    • /
    • pp.1783-1784
    • /
    • 2008
  • This paper presents a novel control technique to deal with networked control systems with neutral timedelay, which is known to highly degrade the control performance of the controlled system. The stability analysis and design method for a sampled-data fuzzy controller for discrete networked control systems (NCS). The neutral time-delay and sampling activity will complicate the NCS. And it make the stability analysis much more difficult than that for a continuous-time NCS. Based on the fuzzy control approach, linear matrix inequality (LMI)-based stability conditions are derived to guarantee the neutral T-S fuzzy system stability. The simulation results and practical experiments illustrate that the proposed controller design is realistic.

  • PDF

전력계통 안정도 향상을 위한 TCSC 안정화 장치의 GA-퍼지 전 보상기 설계 (Design of GA-Fuzzy Precompensator of TCSC-PSS for Enhancement of Power System Stability)

  • 왕용필;정문규;정형환
    • 대한전기학회논문지:전력기술부문A
    • /
    • 제54권2호
    • /
    • pp.51-60
    • /
    • 2005
  • In this paper, we design the GA-fuzzy precompensator of a Power System Stabilizer for Thyristor Controlled Series Capacitor(TCSC-PSS) for enhancement of power system stability. Here a fuzzy precompensator is designed as a fuzzy logic-based precompensation approach for TCSC-PSS. This scheme is easily implemented by adding a fuzzy precompensator to an existing TCSC-PSS. And we optimize the fuzzy precompensator with a genetic algorithm for complements the demerit such as the difficulty of the component selection of fuzzy controller, namely, scaling factor, membership function and control rules. Nonlinear simulation results show that the proposed control technique is superior to conventional TCSC-PSS in dynamic responses over the wide range of operating conditions and in convinced robust and reliable in view of structure.