• 제목/요약/키워드: Model-Based Control

검색결과 8,324건 처리시간 0.037초

TS 퍼지 모델을 이용한 최적 제어기 설계 및 비선형 시스템에서의 응용 (Design of Optimal Controller for TS Fuzzy Models and Its Application to Nonlinear Systems)

  • 장욱;주영훈;박진배
    • 대한전기학회논문지:시스템및제어부문D
    • /
    • 제49권2호
    • /
    • pp.68-73
    • /
    • 2000
  • This paper addresses the analysis and design of fuzzy control systems for a class of complex nonlinear systems. Firstly, the nonlinear system is represented by Takagi-Sugeno(TS) fuzzy model and the global controller is constructed by compensating each linear model in the rule of TS fuzzy model. The design of conventional TS fuzzy-model-based controller is composed of two processes. One is to determine the static state feedback gain of each local model and the other is to validate the stability of the designed fuzzy controller. In this paper, we propose an alternative methods for the design of TS fuzzy-model-based controller. The design scheme is based on the extension of conventional optimal control theory to the design of TS fuzzy-model-based controller. By using the proposed method, the design and stability analysis of the TS fuzzy model-based controller is reduced to the problem of finding the solution of a set of algebraic Riccati equations. And we use the recently developed interior point method to find the solution of AREs, where AREs are recast as the LMI formulation. A numerical simulation example is given to show the effectiveness and feasibiltiy of the proposed fuzzy controller design method.

  • PDF

Integrated SolidWorks & Simscape Platform for the Model-Based Control Algorithms of Hydraulic Manipulators

  • Ahn, Doo Sung;Lee, Ill Yeong;Kim, Hyun Ho
    • 드라이브 ㆍ 컨트롤
    • /
    • 제12권4호
    • /
    • pp.41-47
    • /
    • 2015
  • Hydraulic manipulators have been widely used in many different fields due to their high force/torque to inertia ratio. The increased speed of hydraulic manipulators requires solutions to problems ranging from mechanical design to the need to determine a robot model suitable for model-based control. As a solution, this paper presents the integration of SolidWorks with Simscape for designing and controlling hydraulic manipulators. The integration provides a platform for the rapid control prototyping of a hydraulic robot without the need to build actual prototypes. The mechanical drawings of a manipulator are first created using Solidworks and are then imported into Simscape, where the manipulator is represented by connected block diagrams based on the principle of physical modeling. Simulation examples for a 3D manipulator made by KNR SYSTEM INC are verified to show the effectiveness of the presented platform.

MATLAB/SIMULINK의 모델기반 제어기 설계를 이용한 표면부착형 영구자석 동기전동기의 벡터제어 구현 (Implementation of Vector Control for SPMSM Using Model Based Controller Design in MATLAB/SIMULINK)

  • 지준근;이용석;차귀수
    • 전기학회논문지
    • /
    • 제57권8호
    • /
    • pp.1383-1391
    • /
    • 2008
  • This paper presents an implementation of vector control for SPMSM using model based controller design in MATLAB/SIMULINK. The model based controller design enables fast development of control system for motor by designing controllers and performing simulation on the GUI (Graphic User Interface) platform, converting program code directly into real-time programs, and then performing tests for the responses from controllers. The controllers designed in this paper are PI speed controller and decoupling PI current controller. Also space vector modulation method using offset voltage is used in PWM scheme. And system stability is also secured by close magnitude overmodulation method, maintaining dynamics of load when overmodulation occurs. The validity of vector control implemented is verified through simulations and experiments.

군집 로봇 편대 제어를 위한 협력 입자 군집 최적화 알고리즘 기반 모델 예측 제어 기법 (Cooperative Particle Swarm Optimization-based Model Predictive Control for Multi-Robot Formation)

  • 이승목;김한근;명현
    • 제어로봇시스템학회논문지
    • /
    • 제19권5호
    • /
    • pp.429-434
    • /
    • 2013
  • This paper proposes a CPSO (Cooperative Particle Swarm Optimization)-based MPC (Model Predictive Control) scheme to deal with formation control problem of multiple nonholonomic mobile robots. In a distributed MPC framework, each robot needs to optimize control input sequence over a finite prediction horizon considering control inputs of the other robots where their cost functions are coupled by the state variables of the neighboring robots. In order to optimize the control input sequence, a CPSO algorithm is adopted and modified to fit into the formation control problem. Experiments are performed on a group of nonholonomic mobile robots to demonstrate the effectiveness of the proposed CPSO-based MPC for multi-robot formation.

안전한 EDI 서비스를 위한 접근제어 모델 설계 (Design of Access Control Model for Secure EDI Service)

  • 박진호;정진욱
    • 디지털콘텐츠학회 논문지
    • /
    • 제1권1호
    • /
    • pp.23-37
    • /
    • 2000
  • EDI는 은행업무, 무역, 의학, 출판 등의 다양한 활동이나 사업에 관련된 메시지를 컴퓨터들간에 상호 교환한다는 개념이다. 그러므로, 보안성, 신뢰성 및 특수 기능성이 EDI 시스템의 절대적 요구사항이다. 이러한 요구사항 중 보안성에 대한 요구사항을 만족시키기 위한 접근제어 모델을 설계하고자 한다. 정보시스템에 있어서의 접근제어는 실체에 대한 모든 접근은 보안정책에 의해서 정해진 접근모드나 규칙에 따라 발생한다는 것을 보장하기 위한 것이다. 본 논문에서는, 접근제어 모델을 위한 보안정책을 신분기반 정책, 규칙기반 정책, 직무기반 정책 측면에서 제시한다. 정의한 보안정책을 수행하기 위해서 유도된 접근제어 규칙과 오퍼레이션에 기초한 안전한 EDI 서비스를 제공하기 위한 접근제어 모델을 설계한다. 제안한 접근제어 모델은 EDI 메시지에 대한 무결성, 비밀성 및 흐름제어를 제공한다.

  • PDF

Integrating Fuzzy based Fault diagnosis with Constrained Model Predictive Control for Industrial Applications

  • Mani, Geetha;Sivaraman, Natarajan
    • Journal of Electrical Engineering and Technology
    • /
    • 제12권2호
    • /
    • pp.886-889
    • /
    • 2017
  • An active Fault Tolerant Model Predictive Control (FTMPC) using Fuzzy scheduler is developed. Fault tolerant Control (FTC) system stages are broadly classified into two namely Fault Detection and Isolation (FDI) and fault accommodation. Basically, the faults are identified by means of state estimation techniques. Then using the decision based approach it is isolated. This is usually performed using soft computing techniques. Fuzzy Decision Making (FDM) system classifies the faults. After identification and classification of the faults, the model is selected by using the information obtained from FDI. Then this model is fed into FTC in the form of MPC scheme by Takagi-Sugeno Fuzzy scheduler. The Fault tolerance is performed by switching the appropriate model for each identified faults. Thus by incorporating the fuzzy scheduled based FTC it becomes more efficient. The system will be thereafter able to detect the faults, isolate it and also able to accommodate the faults in the sensors and actuators of the Continuous Stirred Tank Reactor (CSTR) process while the conventional MPC does not have the ability to perform it.

A Robust Indirect Adaptive Fuzzy State Feedback Regulator Based on Takagi-Sugeno Fuzzy Model

  • Hyun, Chang-Ho;Park, Chang-Woo;Park, Mignon
    • 한국지능시스템학회논문지
    • /
    • 제12권6호
    • /
    • pp.554-558
    • /
    • 2002
  • In this paper, we propose a robust indirect adaptive fuzzy state feedback regulator based on Takagi-Sugeno fuzzy model. The proposed adaptive fuzzy regulator is less sensitive to singularity than the conventional one based on the feedback linearization method. Furthermore, the proposed control method is applicable to not only plants with a perfect model but also plants with an imperfect model, which causes uncertainties. We verify the global stability of the proposed method by using Lyapunov method. In order to support the achievement, the application of the proposed adaptive fuzzy regulator to the control of a nonlinear system under the external disturbance is presented and the performance was verified by some simulation result.

State-Space Model Predictive Control Method for Core Power Control in Pressurized Water Reactor Nuclear Power Stations

  • Wang, Guoxu;Wu, Jie;Zeng, Bifan;Xu, Zhibin;Wu, Wanqiang;Ma, Xiaoqian
    • Nuclear Engineering and Technology
    • /
    • 제49권1호
    • /
    • pp.134-140
    • /
    • 2017
  • A well-performed core power control to track load changes is crucial in pressurized water reactor (PWR) nuclear power stations. It is challenging to keep the core power stable at the desired value within acceptable error bands for the safety demands of the PWR due to the sensitivity of nuclear reactors. In this paper, a state-space model predictive control (MPC) method was applied to the control of the core power. The model for core power control was based on mathematical models of the reactor core, the MPC model, and quadratic programming (QP). The mathematical models of the reactor core were based on neutron dynamic models, thermal hydraulic models, and reactivity models. The MPC model was presented in state-space model form, and QP was introduced for optimization solution under system constraints. Simulations of the proposed state-space MPC control system in PWR were designed for control performance analysis, and the simulation results manifest the effectiveness and the good performance of the proposed control method for core power control.

웹 기반 응용을 위한 직무 기반 접근 제어 모델의 설계 (Design of a Role-Based Access Control Model for Web-based Applications)

  • 이호
    • 융합보안논문지
    • /
    • 제2권2호
    • /
    • pp.59-66
    • /
    • 2002
  • 접근제어는 컴퓨터 운영체제, 워크플로우 시스템, 정보 보안 시스템 등에서 보편적으로 사용하고 있는 기술이다. 본 논문에서는 보안성 무결성 및 흐름제어 보안 기능을 제공하면서 동시에 직무 중심 조직의 접근 제어 요구를 용이하게 수용할 수 있는 직무 기반 접근 제어 모델을 제안한다. 제안한 접근제어 모델은 주로 웹을 기반으로 하는 응용 시스템에서 간단하면서도 안전한 방법으로 직무 기반 접근 제어를 수행하도록 설계되어있다.

  • PDF

DSP-based Robust Nonlinear Speed Control of PM Synchronous Motor Using Adaptive and Sliding Mode Control Techniques

  • Baik, In-Cheol;Kyeong-Hwa;Kwan-Yuhl;Youn, Myung-Joong
    • Journal of Electrical Engineering and information Science
    • /
    • 제3권2호
    • /
    • pp.251-260
    • /
    • 1998
  • A DSP-based robust nonlinear speed control of a permanent magnet synchronous motor(PMSM) which is robust to unknown parameter variations and speed measurement error is presented. The model reference adaptive system(MRAS) based adaptation mechanisms for the estimation of slowly varying parameters are derived using the Lyapunov stability theory. For the disturbances or quickly varying parameters. a quasi-linearized and decoupled model including the influence of parameter variations and speed measurement error on the nonlinear speed control of a PMSM is derived. Based on this model, a boundary layer integral sliding mode controller to improve the robustness and performance of the nonlinear speed control of a PMSM is designed and compared with the conventional controller. To show the validity of the proposed control scheme, simulations and experimental works are carried out and compared with the conventional control scheme.

  • PDF