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Wyszukujesz frazę "multiple model control" wg kryterium: Temat

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    Wyświetlanie 1-8 z 8
    Tytuł:
    A multi-model based adaptive reconfiguration control scheme for an electro-hydraulic position servo system
    Autorzy:
    Zhang, Zhao
    Yang, Zhong
    Liu, Shuchang
    Chen, Shuang
    Zhang, Xiaokai
    Powiązania:
    https://bibliotekanauki.pl/articles/2124780.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    fault tolerant control
    electro hydraulic position
    servo system
    multiple model
    adaptive control
    reconfiguration control
    sterowanie tolerujące uszkodzenia
    serwomechanizm
    sterowanie adaptacyjne
    Opis:
    Reliability and safety of an electro-hydraulic position servo system (EHPSS) can be greatly reduced for potential sensor and actuator faults. This paper proposes a novel reconfiguration control (RC) scheme that combines multi-model and adaptive control to compensate for the adverse effects. Such a design includes several fixed models, one adaptive model, and one reinitialized adaptive model. Each of the models has its own independent controller that is based on a complete parametrization of the corresponding fault. A proper switching mechanism is set up to select the most appropriate controller to control the current plant. The system output can track the reference model asymptotically using the proposed method. Simulation results validate robustness and effectiveness of the proposed scheme. The main contribution is a reconfiguration control method that can handle component faults and maintain the acceptable performance of the EHPSS.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2022, 32, 2; 185--196
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Actuator failure compensation for two linked 2WD mobile robots based on multiple-model control
    Autorzy:
    Ma, Y.
    Cocquempot, V.
    El Badaoui El Najjar, M.
    Jiang, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/331196.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    actuator failure
    multiple model control
    physically linked robot
    two wheel drive
    awaria siłownika
    sterowanie wielomodelowe
    robot połączony
    Opis:
    This paper develops a new actuator failure compensation scheme for two linked two-wheel drive (2WD) mobile robots based on multiple-model control. First, a configuration of two linked 2WD robots is described, and their kinematics and dynamics are modeled. Then, a multiple-model based failure compensation scheme is developed to compensate for actuator failures, consisting of a kinematic controller, multiple dynamic controllers and a control switching mechanism, which ensures system stability and asymptotic tracking properties. Finally, simulation results verify the effectiveness of the proposed failure compensation control system.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2017, 27, 4; 763-776
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fault tolerance in networked control systems under intermittent observations
    Autorzy:
    Georges, J. P.
    Theilliol, D.
    Cocquempot, V.
    Ponsart, J. C.
    Aubrun, C.
    Powiązania:
    https://bibliotekanauki.pl/articles/930171.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    przeciążenie sieci
    sterowanie odporne na błędy
    diagnostyka uszkodzeń
    system sieciowy
    model wielokrotny
    network congestion
    fault tolerant control
    fault diagnosis
    networked control system
    interacting multiple model
    Opis:
    This paper presents an approach to fault tolerant control based on the sensor masking principle in the case of wireless networked control systems. With wireless transmission, packet losses act as sensor faults. In the presence of such faults, the faulty measurements corrupt directly the behaviour of closed-loop systems. Since the controller aims at cancelling the error between the measurement and its reference input, the real outputs will, in such a networked control system, deviate from the desired value and may drive the system to its physical limitations or even to instability. The proposed method facilitates fault compensation based on an interacting multiple model approach developed in the framework of channel errors or network congestion equivalent to multiple sensors failures. The interacting multiple model method involved in a networked control system provides simultaneously detection and isolation of on-line packet losses, and also performs a suitable state estimation. Based on particular knowledge of packet losses, sensor fault-tolerant controls are obtained by computing a new control law using fault-free estimation of the faulty element to avoid intermittent observations that might develop into failures and to minimize the effects on system performance and safety.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2011, 21, 4; 639-648
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fuzzy switching for multiple model adaptive control in manipulator robot
    Autorzy:
    Kharabian, B.
    Bolandi, H.
    Smailzadeh, S. M.
    Mousavi Mashhadi, S. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/384940.pdf
    Data publikacji:
    2017
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    manipulator robot
    fuzzy logic
    multiple model
    adaptive control
    switching
    Opis:
    In this paper, fuzzy logic is used to perform switching controllers for Multiple Model Adaptive Control (MMAC) in manipulator robot. In the cases which uncertainty bounds of system’s parameters are large, the performance and stability issue of system are considerable concerns. Multiple Model Adaptive Control approach can be useful method to stabilize these kinds of systems. In this control method, the uncertainty bound is divided into several smaller bounds. As a result, the process of stabilization would be streamlined. In this regard, one estimation is obtained for uncertain parameter in every minor bound, and based on estimation errors designed controller can alter. In order to avoid switching controllers and pertinent challenges a summation of controllers with coefficient tuned by fuzzy logic is considered. Simulation results substantiate the efficacy of this method.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2017, 11, 1; 53-56
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Motor Control: Neural Models and Systems Theory
    Autorzy:
    Doya, K.
    Kimura, H.
    Miyamura, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/908323.pdf
    Data publikacji:
    2001
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    adaptacyjny układ sterowania
    model wielokrotny
    inverse model
    adaptive control
    cerebellum
    reinforcement learning
    basal ganglia
    multiple models
    Opis:
    In this paper, we introduce several system theoretic problems brought forward by recent studies on neural models of motor control. We focus our attention on three topics: (i) the cerebellum and adaptive control, (ii) reinforcement learning and the basal ganglia, and (iii) modular control with multiple models. We discuss these subjects from both neuroscience and systems theory viewpoints with the aim of promoting interplay between the two research communities.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2001, 11, 1; 77-104
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction control systems in marine applications
    Autorzy:
    Gierusz, W.
    Miller, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/117282.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    control system
    marine applications
    ship motion
    automatic system
    Model Predictive Control (MPC)
    multiple input
    Multiple Output (MIMO)
    Model Predictive Heuristic Control (MPHC)
    Generalized Predictive Control (GPC)
    Opis:
    The paper presents one of the modern control methods used for steering of the ship motion. The different automatic systems used to navigate the vessels are described at the beginning. Next, prediction control methodology is presented and multidimensional MPC regulator applied to steering of the training ship is shown as a technical product. Tests results from the real-time experiments with the mentioned controller are presented at the end of the article.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 2; 361-366
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Real-time implementation of multiple model based predictive control strategy to air/fuel ratio of a gasoline engine
    Autorzy:
    Wojnar, S
    Polóni, T
    Šimončič, P
    Rohal’-Ilkiv, B
    Honek, M
    Csambál, J
    Powiązania:
    https://bibliotekanauki.pl/articles/229632.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    model predictive control
    multiple models
    air/fuel ratio
    spark ignition engine
    ARX models
    Opis:
    Growing safety, pollution and comfort requirements influence automotive industry ever more. The use of three-way catalysts in exhaust aftertreatment systems of combustion engines is essential in reducing engine emissions to levels demanded by environmental legislation. However, the key to the optimal catalytic conversion level is to keep the engine air/fuel ratio (AFR) at a desired level. Thus, for this purposes more and more sophisticated AFR control algorithms are intensively investigated and tested in the literature. The goal of this paper is to present for a case of a gasoline engine the model predictive AFR controller based on the multiple-model approach to the engine modeling. The idea is to identify the engine in particular working points and then to create a global engine's model using Sugeno fuzzy logic. Opposite to traditional control approaches which lose their quality beside steady state, it enables to work with satisfactory quality mainly in transient regimes. Presented results of the multiple-model predictive air/fuel ratio control are acquired from the first experimental real-time implementation on the VW Polo 1390 cm3 gasoline engine, at which the original electronic control unit (ECU) has been fully replaced by a dSpace prototyping system which execute the predictive controller. Required control performance has been proven and is presented in the paper.
    Źródło:
    Archives of Control Sciences; 2013, 23, 1; 93-106
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Ship Course Following and Course Keeping in Restricted Waters Based on Model Predictive Control
    Autorzy:
    Liu, H.
    Ma, N.
    Gu, X. C.
    Powiązania:
    https://bibliotekanauki.pl/articles/116264.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Ship Movement, Multiple-Input Multiple-Output (MIMO)
    Very Large Crude Carrier (VLCC)
    Model Predictive Control (MPC)
    Linear Quadratic Regulator (LQR)
    course
    restricted waters
    safety at sea
    Opis:
    Ship navigation safety in restricted water areas is of great concern to crew members, because ships sailing in close proximity to banks are significantly affected by the so-called ship-bank interaction. The purpose of this paper is to apply the optimal control theory to help helmsmen adjust ships’ course and maintain the target course in restricted waters. To achieve this objective, the motion of a very large crude carrier (VLCC) close to a bank is modeled with the linear equations of manoeuvring and the influence of bank effect on the ship hydrodynamic force is considered in the model. State-space framework is cast in a Multiple-Input Multiple-Output (MIMO) system, where the offset-free model predictive control (MPC) is designed for course following and the linear quadratic regulator (LQR) is used for course keeping. Simulation results show that the control methods effectively work in ship course following and course keeping with varying ship-bank distances and water depths. The advantage of adopting speed variation as the second control input is obvious.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2018, 12, 2; 305-312
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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