• Title/Summary/Keyword: Instrumentation and control systems

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A CONTROLLER DESIGN OF ACTIVE SUSPENSION USING EVOLUTION STRATEGY AND NEURAL NETWORK

  • Cheon, Jong-Min;Kim, Seog-Joo;Lee, Jong-Moo;Kwon, Soon-Man
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1530-1533
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    • 2005
  • In this paper, we design a Linear Quadratic Gaussian controller for the active suspension. We can improve the inherent suspension problem, trade-off between the ride quality and the suspension travel by selecting appropriate weights in the LQ-objective function. Because any definite rules for selecting weights do not exist, we use an optimization-algorithm, Evolution Strategy (ES) to find the proper control gains for selected frequencies, which have major effects on the vibrations of the vehicle's state variables. The frequencies and proper control gains are used for the neural network data. During a vehicle running, the trained on-line neural network is activated and provides the proper gains for non-trained frequencies. For the full-state feedback control, Kalman filter observes the full states and Fourier transform is used to detect the frequency of the road.

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Kinematic/dynamic optimal design of a Stewart Platform mechanism (스튜워트 플랫폼 메카니즘의 기구학적/동역학적 최적설계)

  • Yi, Byung-Ju;Kim, Whee-Kuk;Huh, Kum-Kang
    • Journal of Institute of Control, Robotics and Systems
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    • v.2 no.1
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    • pp.45-52
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    • 1996
  • This work deals with the kinematic and dynamic optimal design of a six degree-of-freedom Stewart Platform mechanism, which is actuated by six prismatic cylinfers. Composite design index is employed to deal with multi-criteria based design in a systematic manner, and a sequential design method is suggested, in which the results from the kinematic optimization are employed in the following dynamic optimization.

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Reconstruction of Partially Occluded Facial Image Utilizing KPCA-based Denoising Method (KPCA 기반 노이즈 제거 기법을 이용한 부분 손상된 얼굴 영상의 복원)

  • Kang Daesung;Kim Jongho;Park Jooyoung
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.04a
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    • pp.247-250
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    • 2005
  • In numerous occasions, there is need to reconstruct partially occluded facial image. Typical examples include the recognition of criminals whose facial images are captured by surveillance cameras- ln such cases a significant part of the face is occluded making the process of identification extremely difficult, both for automatic face recognition systems and human observers. To overcome these difficulties, we consider the application of Kernel PCA-based denoising method to partially occluded facial image in this paper.

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Distributed control of Network devices through Remote Terminal

  • Gulpanich, Suphan;Ploysuk, Banharn;Kongratana, Kongratana;Suesut, Taweepol;Tirasesth, Kitti
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1127-1131
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    • 2005
  • One of problems in industries is an installation for an automation system device such sensor, transducer, controller, and so on those are located in different areas. Such problem makes a difficulty for maintenance and installation. The aim of this research attempts to design a high performance controller with remote devices. One attractive is to group near devices in near place together to centralizes control. This paper presents network device groups distributed through digital and analog Remote Terminal Unit (RTUs). Such devices are centralized by computer or PLC control and communicated with similar protocol through serial bus. Our scheme, there are many advantages such as, saving both time and cost,convenience compared to other ways.

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New method for LQG control of singularly perturbed discrete stochastic systems

  • Lim, Myo-Taeg;Kwon, Sung-Ha
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.432-435
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    • 1995
  • In this paper a new approach to obtain the solution of the linear-quadratic Gaussian control problem for singularly perturbed discrete-time stochastic systems is proposed. The alogorithm proposed is based on exploring the previous results that the exact solution of the global discrete algebraic Riccati equations is found in terms of the reduced-order pure-slow and pure-fast nonsymmetric continuous-time algebraic Riccati equations and, in addition, the optimal global Kalman filter is decomposed into pure-slow and pure-fast local optimal filters both driven by the system measurements and the system optimal control input. It is shown that the optimal linear-quadratic Gaussian control problem for singularly perturbed linear discrete systems takes the complete decomposition and parallelism between pure-slow and pure-fast filters and controllers.

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Adaptive Intelligent Control of Nonlinear dynamic system Using Immune Fuzzy Fusion

  • Kim, Dong-Hwa;Park, Jin-Ill
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.3 no.2
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    • pp.146-156
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    • 2003
  • Nonlinear dynamic system exist widely in many types of systems such as chemical processes, biomedical processes, and the main steam temperature control system of the thermal power plant. Up to the present time, PID Controllers have been used to operate these systems. However, it is very difficult to achieve an optimal PID gain with no experience, because of the interaction between loops and gain of the PID controller has to be manually tuned by trial and error. This paper suggests control approaches by immune fuzzy for the nonlinear control system inverted pendulum, through computer simulation. This paper defines relationship state variables $x,\dot{x},{\theta},\dot{\theta}$ using immune fuzzy and applied its results to stability.

A Fuzzy Logic for Autonomous Navigation of Marine Vehicles Satisfying COLREG Guidelines

  • Lee, Sang-Min;Kwon, Kyung-Yub;Joongseon Joh
    • International Journal of Control, Automation, and Systems
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    • v.2 no.2
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    • pp.171-181
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    • 2004
  • An autonomous navigation algorithm for marine vehicles is proposed in this paper using fuzzy logic under COLREG guidelines. The VFF (Virtual Force Field) method, which is widely used in the field of mobile robotics, is modified for application to the autonomous navigation of marine vehicles. This Modified Virtual Force Field (MVFF) method can be used in either track-keeping or collision avoidance modes. Moreover, the operator can select a track-keeping pattern mode in the proposed algorithm. The collision avoidance algorithm has the ability to handle static and/or moving obstacles. The fuzzy expert rules are designed deliberately under COLREG guidelines. An extensive simulation study is used to verify the proposed method.

Development of the Control System for the Motor-Driven Electromechanical Total Artificial Hearta

  • Kim, Hee-Chan;Lee, Sang-Hun;Kim, Jong-Won-;Kim, Jin-Tae-;Min, Byoung-Goo
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10b
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    • pp.858-863
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    • 1988
  • A micro-processor based control system for a brushless DC motor used in the motor-driven electromechanical total artificial heart was developed. Functionally, the control system is composed of two parts. The first part is the velocity and position controller to assure that the motor follows a predetermined optimal velocity profile with minimal energy consumption, and to guarantee the full stroke length. This part also utilize the passive adaptive control method to be robust against the load disturbance, system parameter variation, and uncertainty which is the environment of artificial heart system. The pump output control is the second part, and this part provides the required responses of the artificial heart to the time-varying physiologic demands. The basic requirements of these responses are preload sensitivity, afterload insensitivity, and the balanced ventricular outputs. The performance and reliability of this control system was evaluated through a series of mock circulation tests and animal implantation, and the results are very encouraging.

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A Design of JCM(Joint Constraint Map) for the Collision Avoidance of Two Robots (두 로보트의 충돌 회피를 위한 조인트 제한 지도(JCM) 의 구성)

  • Nam, Yun-Seok;Lee, Bum-Hee;Ko, Myoung-Sam
    • Proceedings of the KIEE Conference
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    • 1988.07a
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    • pp.945-949
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    • 1988
  • In this paper, collision avoidance of two robots working in a common workspace is described. The workspace for a two robot system is defined and classified. JCM (Joint Constraint Map) is designed which shows the region of joint values that must be avoided for collision free motion, and application of the JCM is studied.

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