• Title/Summary/Keyword: Fuzzy Control System

Search Result 2,794, Processing Time 0.031 seconds

An attitude control of stabilizing system using indirect adaptive fuzzy control

  • Kim, Jae-Hoon;Kim, Jong-Hwa
    • Journal of Advanced Marine Engineering and Technology
    • /
    • v.38 no.10
    • /
    • pp.1318-1326
    • /
    • 2014
  • The purpose of a tracking control system is to track a moving target and to find the exact information of the target. If the platform of the tracking control system is equipped on a moving vehicle such as a ship, the tracking control system will treat even the additional platform motion. In order to avoid the complexity comprising the tracking control system, a process to treat the platform motion, named stabilizing system, must be separated from the tracking control system. In this paper, a method to comprise an attitude control system for the platform stabilization is proposed using an adaptive fuzzy control which is applicable to the system with structural and parametric uncertainty. The suggested adaptive fuzzy control algorithm is the 2nd/1st-type indirect adaptive fuzzy control algorithm using the advantages of 1st-type and 2nd-type indirect adaptive fuzzy control algorithm. Several experiments using the implemented stabilizing system are executed for verifying the effectiveness of the suggested method.

Digital Control for Takagi-Sugeno Fuzzy System with Multirate Sampling

  • Kim, Do Wan;Joo, Young Hoon;Park, Jin Bae
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • v.4 no.2
    • /
    • pp.199-204
    • /
    • 2004
  • In this paper, a new dual-rate 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 dual-rate 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.

Design of an Adaptive Fuzzy Controller and Its Application to Controlling Uncertain Chaotic Systems

  • Rark, Chang-woo;Lee, Chang-Hoon;Kim, Jung-Hwan;Kim, Seungho;Park, Mignon
    • Transactions on Control, Automation and Systems Engineering
    • /
    • v.3 no.2
    • /
    • pp.95-105
    • /
    • 2001
  • In this paper, in order to control uncertain chaotic system, an adaptive fuzzy control(AFC) scheme is developed for the multi-input/multi-output plants represented by the Takagi-Sugeno(T-S) fuzzy models. The proposed AFC scheme provides robust tracking of a desired signal for the T-S fuzzy systems with uncertain parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the chaotic state tracks the state of the stable reference model(SRM) asymptotically with time for any bounded reference input signal. The suggested AFC design technique is applied for the control of an uncertain Lorenz system based on T-S fuzzy model such as stabilization, synchronization and chaotic model following control(CMFC).

  • PDF

Design of Fuzzy Precompensated PID Controller for Load Frequency Control of Power System using Genetic Algorithm (유전 알고리즘을 이용한 전력계통의 부하주파수 제어를 위한 퍼지 전 보상 PID 제어기 설계)

  • Jeong, Hyeong-Hwan;Wang, Yong-Pil;Lee, Jeong-Pil;Jeong, Mun-Gyu
    • The Transactions of the Korean Institute of Electrical Engineers A
    • /
    • v.49 no.2
    • /
    • pp.62-69
    • /
    • 2000
  • In this paper, we design a GA-fuzzy precompensated PID controller for the load frequency control of two-area interconnected power system. Here, a fuzzy precompensated PID controller is designed as a fuzzy logic-based precompensation approach for PID controller. This scheme is easily implemented simply by adding a fuzzy precompensator to an existing PID controller. 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. Simulation results show that the proposed control technique is superior to a conventional PID control and a fuzzy precompensated PID control in dynamic responses about the load disturbances of power system and is convinced robustness reliableness in view of structure.

  • PDF

Real-Time Digital Fuzzy Control Systems considering Computing Time-Delay

  • Park, Chang-Woo;Shin, Hyun-Seok;Park, Mig-Non
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.10 no.5
    • /
    • pp.423-431
    • /
    • 2000
  • In this paper, the effect of computing time-delay in the real-time digital fuzzy control systems is investigated and the design methodology of a real-time digital fuzzy controller(DFC) to overcome the problems caused by it is presented. We propose the fuzzy feedback controller whose output is delayed with unit sampling period. The analysis and the design problem considering computing time-delay is very easy because the proposed controller is syncronized with the sampling time. The stabilization problem of the digital fuzzy control system is solved by the linear matrix inequality(LMI) theory. Convex optimization techniques are utilized to find the stable feedback gains and a common positive definite matrix P for the designed fuzzy control system Furthermore, we develop a real-time fuzzy control system for backing up a computer-simulated truck-trailer with the consideration of the computing time-delay. By using the proposed method, we design a DFC which guarantees the stability of the real time digital fuzzy control system in the presence of computing time-delay.

  • PDF

A Real-time High-speed Fuzzy Control System Using Integer Fuzzy Control Method (정수형 퍼지제어기법을 적용한 실시간 고속 퍼지제어시스템)

  • 손기성;김종혁;성은무;이상구
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2003.05a
    • /
    • pp.299-302
    • /
    • 2003
  • In fuzzy control systems having large volumes of fuzzy data. one of the important problems is the improvement of execution speed in the fuzzy inference and defuzzification stages. In this paper, to improve the speedup of fuzzy controllers, we use an integer line mapping algorithm to convert [0, 1] real values in the fuzzy membership functions to integer pixels. U sing this, we propose a real-time high-speed fuzzy control system and implement a fast fuzzy processor and control system using FPGAs.

  • PDF

Fuzzy Control Application Strategy for Energy Saving in HVAC System (공조시스템의 에너지절약을 위한 Fuzzy제어 적용방안 연구)

  • Ahn, Byung-Cheon;Song, Jae-Yeob
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
    • /
    • v.3 no.2
    • /
    • pp.31-37
    • /
    • 2007
  • The fuzzy control algorithm for HVAC system has been developed for minimizing energy consumption while maintaining the comfort of indoor thermal environment in terms of the environmental variables such as time varying indoor cooling load and outdoor temperatures. The optimal set-points of control parameters with fuzzy control are supply air temperature, chilled water temperature and condenser temperature. This study has been done by using TRNSYS program in order to analyze the HVAC system response. As a result, the fuzzy control algorithm with PID algorithm shows good energy performance in comparison with conventional one.

  • PDF

Implementation of a Fuzzy Control System for Two-Wheeled Inverted Pendulum Robot based on Artificial Neural Network (인공신경망에 기초한 이륜 역진자 로봇의 퍼지 제어시스템 구현)

  • Jeong, Geon-Wu;Choi, Young-Kiu
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.17 no.1
    • /
    • pp.8-14
    • /
    • 2013
  • In this paper, a control system for two wheeled inverted pendulum robot is implemented to have more stable balancing capability than the conventional control system. Fuzzy control structure is chosen for the two wheeled inverted pendulum robot, and fuzzy membership function factors for the control system are obtained for 3 specified weights using a trial-and-error method. Next a neural network is employed to generate fuzzy membership function factors for more stable control performance when the weight is arbitrarily selected. Through some experiments, we find that the proposed fuzzy control system using the neural network is superior to the conventional fuzzy control system.

Design of Adaptive Fuzzy Sliding Mode Controller based on Fuzzy Basis Function Expansion for UFV Depth Control

  • Kim Hyun-Sik;Shin Yong-Ku
    • International Journal of Control, Automation, and Systems
    • /
    • v.3 no.2
    • /
    • pp.217-224
    • /
    • 2005
  • Generally, the underwater flight vehicle (UFV) depth control system operates with the following problems: it is a multi-input multi-output (MIMO) system because the UFV contains both pitch and depth angle variables as well as multiple control planes, it requires robustness because of the possibility that it may encounter uncertainties such as parameter variations and disturbances, it requires a continuous control input because the system that has reduced power consumption and acoustic noise is more practical, and further, it has the speed dependency of controller parameters because the control forces of control planes depend on the operating speed. To solve these problems, an adaptive fuzzy sliding mode controller (AFSMC), which is based on the decomposition method using expert knowledge in the UFV depth control and utilizes a fuzzy basis function expansion (FBFE) and a proportional integral augmented sliding signal, is proposed. To verify the performance of the AFSMC, UFV depth control is performed. Simulation results show that the AFSMC solves all problems experienced in the UFV depth control system online.

Position Control of Fuzzy-Sliding Mode Controller (퍼지-슬라이딩모드 제어를 이용한 위치제어에 관한 연구)

  • 한경욱;임영도
    • Proceedings of the Korea Institute of Convergence Signal Processing
    • /
    • 2000.12a
    • /
    • pp.221-224
    • /
    • 2000
  • We consider one of robust controller, fuzzy-sliding mode controller dealing with model uncertainty, simplified representation of nonlinear system, changed parameters of plant. We propose fuzzy-sliding mode algorithm which provides control input that has system states approaching the choosed sliding surface. This fuzzy controller has a rule base to get initial states converged on sliding surface. This algorithm Is applied to a transfer function of DC motor to be modeled simply and do position control of DC motor due to system parameters. We compare fuzzy-sliding mode controller to both sliding mode controller and fuzzy controller to identify roust control.

  • PDF