• Title/Summary/Keyword: a model based control

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Model-based sliding mode tracking control of 6-6 Stewart platform manipulator

  • Lee, Chong-Won;Kim, Nag-In
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.772-775
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    • 1997
  • A high speed tracking control for 6-6 Stewart platform manipulator is performed by employing the joint-axis sliding mode control based on dynamics. Because of the complex dynamics and kinematics of Stewart platform manipulator, two computer systems, consisting of a PC and a DSP, are adopted, so that real time tasks are run in synchronous and asynchronous modes. It is experimentally proven that the proposed control system leads to an easy to implement and effective control task, and it can achieve the high performance tracking control under the high speed and severe payload condition.

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Context-based Dynamic Access Control Model for u-healthcare and its Application (u-헬스케어를 위한 상황기반 동적접근 제어 모델 및 응용)

  • Jeong, Chang-Won;Kim, Dong-Ho;Joo, Su-Chong
    • The KIPS Transactions:PartC
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    • v.15C no.6
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    • pp.493-506
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    • 2008
  • In this paper we suggest dynamic access control model based on context satisfied with requirement of u-healthcare environment through researching the role based access control model. For the dynamic security domain management, we used a distributed object group framework and context information for dynamic access control used the constructed database. We defined decision rule by knowledge reduction in decision making table, and applied this rule in our model as a rough set theory. We showed the executed results of context based dynamic security service through u-healthcare application which is based on distributed object group framework. As a result, our dynamic access control model provides an appropriate security service according to security domain, more flexible access control in u-healthcare environment.

MRAC Fuzzy Control for High Performance of Induction Motor Drive (유도전동기 드라이브의 고성능 제어를 위한 MRAC 퍼지제어)

  • 정동화;이정철
    • The Transactions of the Korean Institute of Power Electronics
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    • v.7 no.3
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    • pp.215-223
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    • 2002
  • This paper investigates the adaptive control of a fuzzy logic based speed and flux controller fur a vector controlled induction motor drive. A model reference adaptive scheme is proposed in which the adaptation mechanism is executed by fuzzy logic based on the error and change of error measured between the motor speed and output of a reference model. The control performance of the model reference adaptive control(MRAC) fuzzy controller is evaluated by simulation for various operating conditions. The validity of the Proposed MRAC fuzzy controller is confirmed by performance results for induction motor drive system.

Dynamic Response Control of a Flexible Wing using Sliding Mode Control (슬라이딩 모드 제어기법을 이용한 유연날개 동적 응답 제어)

  • Lee, Sang-Wook;Suk, Jinyoung
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2013.04a
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    • pp.522-527
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    • 2013
  • In this study, dynamic response control of a flexible wing such as gust loads alleviation using sliding mode control method is presented. To achieve this purpose, trailing edge control surface of a flexible wing is used as control means generating the aerodynamic control force. Aeroservoelastic CASE) model consisting of aeroelastic plant, control surface actuator model, and gust model depicting the atmospheric turbulence is formulated in the state space. A sliding mode controller based on the estimated state vector is designed for active dynamic response control of flexible wing aeroservoelastic model. The performance of the controller designed is demonstrated via numerical simulation for the representative flexible wing model under atmospheric turbulence loading.

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5-Axis Cross-Coupling Control System Based on a Novel Real-Time Tool Orientation Error Model (새로운 실시간 공구방향오차 모델에 기초한 5 축 연동제어 시스템)

  • Byun, Je-Hyung;Jee, Sung-Chul
    • Journal of the Korean Society for Precision Engineering
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    • v.27 no.8
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    • pp.48-53
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    • 2010
  • 5-axis CNC machining now is getting popular because it can deal with complex shapes such as impeller, turbine blade and propeller without additional equipment or process, proving a set of various tool orientations. CAM software related to 5-axis machining is being developed quickly so that users can take advantage of potential capacities of 5-axis machine tools. However, only a few researches can be found in the area of control strategy development for 5-axis machining. This paper proposes a 5-axis cross-coupling control system based on a novel tool orientation error model. The proposed tool orientation error model provides accurate information on the tool orientation error in real time, which in turn enables directly controlling the tool orientation accuracy. The proposed control system also employs a contour error model to calculate the contour error and reflect it in the control as well. The accuracy of the proposed tool orientation error model is verified and the performance of the 5-axis cross-coupling control system in terms of both contouring and tool orientation accuracy is evaluated through computer simulations compared with existing 5-axis control systems.

The Design of Sliding Model Controller with Perturbation Estimator Using Observer-Based Fuzzy Adaptive Network

  • Park, Min-Kyu;Lee, Min-Cheol;Go, Seok-Jo
    • Transactions on Control, Automation and Systems Engineering
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    • v.3 no.2
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    • pp.117-123
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    • 2001
  • To improve control performance of a non-linear system, many other reserches have used the sliding model control algorithm. The sliding mode controller is known to be robust against nonlinear and unmodeled dynamic terms. However, this algorithm raises the inherent chattering caused by excessive switching inputs around the sliding surface. Therefore, in order to solve the chattering problem and improve control performance, this study has developed the sliding mode controller with a perturbation estimator using the observer-based fuzzy adaptive network. The perturbation estimator based on the fuzzy adaptive network generates the control input of compensating unmodeled dynamics terms and disturbance. And the weighting parameters of the fuzzy adaptive network are updated on-line by adaptive law in order to force the estimation errors converge to zero. Therefore, the combination of sliding mode control and fuzzy adaptive network gives rise to the robust and intelligent routine. For evaluation control performance of the proposed approach, tracking control simulation is carried is carried out for the hydraulic motion simulator which is a 6-degree of freedom parallel manipulator.

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Development of a Tracked Vehicle Model for Real-time Simulation of Semi-active Suspension System (반능동 현수장치의 실시간 시뮬레이션용 궤도차량 모델 개발)

  • 손영일;이종호;송병석
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.4
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    • pp.135-143
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    • 2003
  • In this study, a real-time simulation model was developed for tracked vehicles with in-arm type semi-active hydro-pneumatic suspension unit using MATLAB S-functions. Since the vehicle model uses relative coordinates and massless link elements, the developed model has an enhanced analytic time performance. Through the comparison of simulation results with multi-body software(DADS), the vehicle model is verified. A controller using on-off skyhook control algorithm is designed with the pilot-centre]led proportional valve based on conventional damper characteristics. Exploiting the developed tracked vehicle model with other subsystem model such as a controller model, a suspension unit model, and a test road model, computer simulations are carried out. Control simulation results with the developed tracked vehicle model show that the semi-active suspension control system has a better performance than the conventional suspension system.

Reliable Fault Diagnosis Method Based on An Optimized Deep Belief Network for Gearbox

  • Oybek Eraliev;Ozodbek Xakimov;Chul-Hee Lee
    • Journal of Drive and Control
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    • v.20 no.4
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    • pp.54-63
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    • 2023
  • High and intermittent loading cycles induce fatigue damage to transmission components, resulting in premature gearbox failure. To identify gearbox defects, numerous vibration-based diagnostics techniques, using several artificial intelligence (AI) algorithms, have recently been presented. In this paper, an optimized deep belief network (DBN) model for gearbox problem diagnosis was designed based on time-frequency visual pattern identification. To optimize the hyperparameters of the model, a particle swarm optimization (PSO) approach was integrated into the DBN. The proposed model was tested on two gearbox datasets: a wind turbine gearbox and an experimental gearbox. The optimized DBN model demonstrated strong and robust performance in classification accuracy. In addition, the accuracy of the generated datasets was compared using traditional ML and DL algorithms. Furthermore, the proposed model was evaluated on different partitions of the dataset. The results showed that, even with a small amount of sample data, the optimized DBN model achieved high accuracy in diagnosis.

FuRBAC : Function-Unit Delegation On Role-Based Access Control Model (FuRBAC 모델 : 권한위임이 기능단위로 설정 가능한 역할 기반 접근제어 모델)

  • Choi, Jun-Young;Cho, Nam-Deok;Yun, E.Joong
    • Convergence Security Journal
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    • v.6 no.4
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    • pp.1-9
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    • 2006
  • With role-based access control, access decisions are based on the roles that individual users have as part of an organization. In this paper, we propose a new RBAC model that a user delegate a permission to another user with function-unit for practical organization. A function-unit delegation is more safe than existing delegations on RBAC model. And FuRBAC model has a authentication to supervise security problems.

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Control of complex distillation configuration (복합 증류계의 제어)

  • 한명완;박선원
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.742-748
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    • 1993
  • The dynamics and control of two complex column configurations (sidestream column with stripper; prcfractionater/sidestream column configuration), which are multivariable interacting and nonlinear, have been studied. A new control scheme developed by Hanand Park(1993) to deal with the nonlinear and multivariable nature of distillation processes has been applied to these complex distillation configurations. The control scheme incorporates a nonlinear wave model into a generic model control framework. An observer based on the nonlinear wave model is used to determine the profile positions of distillation column sections. The control scheme enables tight control of the profile position of each column section that leads to fast stabilization of product compositions.

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