• Title/Summary/Keyword: multiple controller

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An architecture and its performance evaluation of a multiprocessor based programmable controller(MBPC)

  • Kim, Jong-Il;Kwon, Wook-Hyun;Park, Hong-Sung
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10a
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    • pp.863-869
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    • 1987
  • INFOBUS, which has been designed as a system bus of a multiprocessor system, will be introduced. And the concepts of the multiple transfer and ORed write transfer will be described. These concepts make INFOBUS to be well suited for use as the system bus of the multiprocessor based programmable controller(MBPC). In addition, the mean data transfer time through INFOBUS, which is one of the most significant performance of a bus, will be obtained by analysis and simulation. Next, MBPC which uses INFOBUS as its system bus will be introduced, and some basic characteristics of MBPC will be described. The construction of exact model for MBPC will be given and simulated using SDL/SIM package. The reference system of our model will be briefly described also. Some results from the simulation will be given and validated.

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Modeling of a Continuous-Time System with Time-delay

  • Park, Jong-Jin;Choi, Guy-Seok
    • International Journal of Internet, Broadcasting and Communication
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    • v.4 no.2
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    • pp.1-6
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    • 2012
  • Control Theory for continuous-time system has been well developed. Due to the development of computer technology, digital control scheme are employed in many areas. When delays are in control systems, it is hard to control the system efficiently. Delays by controller-to-actuator and sensor-to-controller deteriorate control performance and could possibly destabilize the overall system. In this paper, a new approximated discretization method and digital design for control systems with multiple state, input and output delays and a generalized bilinear transformation method with a tunable parameter are also provided, which can re-transform the integer time-delayed discrete-time model to its continuous-time model. Illustrative examples are given to demonstrate the effectiveness of the developed method.

The Vibration Control of Flexible Manipulator using A Reference Trajectory Command and Fuzzy Controller

  • Park, Yang-Su;Kang, Jeng-Ho;Park, Yoon-Myung;Cho, Yong-Gab
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.67.3-67
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    • 2001
  • A fuzzy control strategy is described which is utilized to control the joint angle and tip deflection in single flexible manipulator. In this paper, an existing model for a single flexible manipulator is used f3r the initial development of an FLC. One FLC is designed to govern the joint angle of the manipulator as it is rotated from one position to another, and a second FLC is designed to attenuate the tip deflection which result from joint angle body motion. Reference Trajectory Command is an important method to reduce vibration in flexible beam. This paper presents a very simple command control shaping which eliminates multiple mode residual vibration in a flexible beam combined fuzzy controller ...

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Multi-UAV Formation Based on Feedback Linearization Technique Using Range-Only Measurement (거리 정보를 이용한 되먹음 선형화 기법 무인기 편대 비행제어)

  • Kim, Sung-Hwan;Ryoo, Chang-Kyung;Park, Choon-Bae
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.1
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    • pp.23-30
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    • 2009
  • This paper addresses how to make a formation of multiple unmanned aerial vehicles (UAVs) using only the relative range information. Since the relative range can easily be measured by an on-board range sensor like the laser range finder, the proposed method does not require any expensive and heavy wireless communication system to share the navigation information of each vehicle. Based on the two-dimensional (2-D) nonlinear equations of motion, we propose a nonlinear formation controller using the typical input-output feedback linearization method. The performance of the proposed formation controller is verified by various numerical simulations.

An Auto-tuning of SRM using PID Controller (PID제어기를 사용한 SRM의 자동동조)

  • 서기영;이수흠;권순걸;문상필;이내일
    • Proceedings of the IEEK Conference
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    • 2000.06e
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    • pp.175-178
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    • 2000
  • We propose a new method to deal with the optimized auto-tuning for the PID controller which is used to the process-centre] in various fields. First of all, in this method, initial values are determined by the Switched Reluctance Motor of system and Ziegler-Nichols method. After deciding binary strings of parents generation using by the fitness values of genetic algorithms, we perform selection, crossover and mutation to generate the descendant generation. The advantage of this method is better than the neural network and multiple regression model method in characteristic of output, and has extent of applying without limit of initial parameters.

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Development of an Automatic Irrigation Control System in Protected Horticulture (시설원예에 있어서 물관리 지동화 시스템 개발)

  • 김경수;이기명;장익주
    • Journal of Bio-Environment Control
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    • v.1 no.1
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    • pp.61-71
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    • 1992
  • This study is performed to develop an automatic irrigation control of system for effective water management in greenhouse. The automatic irrigation control system is composed of an IR-RED optical sensor in tensiometer and an One-chip micro controller. The following results are obtained : 1. A practical IR-RED optical sensor in tensiometer, which shows the starting point of irrigation, was developed. 2. The automatic irrigation system with the optical sensor and One-chip micro controller was developed and also designed to be able to combine with the control system for temperature, curtain opening, etc. 3. A multiple irrigation control system for several greenhouses were suggested. 4. The results of the system test with the driving program for automatic water management were excellent.

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Design of IMC Controller for Nonlinear Systems by Using Adaptive Neuro-Fuzzy Inference System (뉴로 퍼지 시스템을 이용한 비선형 시스템의 IMC 제어기 설계)

  • 강정규;김정수;김성호
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.236-236
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    • 2000
  • Control of Industrial processes is very difficult due to nonlinear dynamics, effect of disturbances and modeling errors. M.Morari proposed Internal Model Control(IMC) system that can be effectively applied to the systems with model uncertainties and time delays. The advantage of IMC systems is their robustness with respect to a model mismatch and disturbances. But it was difficult to apply for nonlinear systems. Adaptive Neuro-Fuzzy Inference System which contains multiple linear models as consequent part is used to model nonlinear systems. Generally, the linear parameters in neuro-fuzzy inference system can be effectively utilized to identify a nonlinear dynamical systems. In this paper, we propose new IMC design method using adaptive neuro-fuzzy inference system for nonlinear plant. Numerical simulation results show that proposed IMC design method has good performance than classical PID controller.

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Linear Decentralized Learning Control for the Multiple Dynamic Subsystems

  • Lee, Soo-Cheol
    • Journal of Korea Society of Industrial Information Systems
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    • v.1 no.1
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    • pp.153-176
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    • 1996
  • The new field of learning control devleops controllers that learn to improve their performance at executing a given task, based on experience performing this task. the simplest forms of learning control are based on the same concepts as integral control, but operating in the domain of the repetitions of the task. This paper studies the use of such controllers ina decentralized system, such as a robot with the controller for each link acting independently. The basic result of the paper is to show that stability of the learning controllers for all subsystems when the coupling between subsystems is turned off, assures stability of the decentralized learning in the coupled system, provided that the sample time in the digital learning controller is sufficiently short.

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LQG design scheme for multiple vibration controllers in a data center facility

  • Kohiyama, Masayuki;Yoshida, Minako
    • Earthquakes and Structures
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    • v.6 no.3
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    • pp.281-300
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    • 2014
  • This study proposes a scheme to design control parameters for a data center facility with a vibration controller on its top floor and a secondary isolation device with its own vibration controller designed to protect vibration-sensitive computer equipment. The aim is to reduce the effects of acceleration and drift from an earthquake on computer servers placed on the isolation device that must operate during a seismic event. A linear elastic model is constructed and the evaluation function of the linear quadratic Gaussian (LQG) control is formulated. The relationship between the control parameters and the responses is examined, and based on the observations, a control parameter design scheme is constructed to reduce the responses of both the building and the computer server effectively.

A study of improving SRM of PID controller using genetic algorithms (유전자알고리즘을 사용한 PID제어기에서의 SRM 성능개선)

  • Suh, K.Y.;Lee, S.H.;Ryu, J.Y.;Mun, S.P.;Lee, N.I.
    • Proceedings of the KIEE Conference
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    • 2000.07b
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    • pp.1146-1150
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    • 2000
  • We propose a new method to deal with the optimized auto-tuning for the PID controller which is used to the process-control in various fields. First of all, in this method, initial values are determined by the Switched Reluctance Motor of system and Ziegler-Nichols method. After deciding binary strings of parents generation using by the fitness values of genetic algorithms, we perform selection, crossover and mutation to generate the descendant generation. The advantage of this method is better than the neural network and multiple regression model method in characteristic of output, and has extent of applying without limit of initial parameters.

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