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    Wyświetlanie 1-7 z 7
    Tytuł:
    Application-oriented experiment design for model predictive control
    Autorzy:
    Jakowluk, W.
    Świercz, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/201147.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    model predictive control
    optimal input design
    convex optimization
    application-oriented identification
    Opis:
    The model predictive control (MPC) technique has been widely applied in a large number of industrial plants. Optimal input design should guarantee acceptable model parameter estimates while still providing for low experimental effort. The goal of this work is to investigate an application-oriented identification experiment that satisfies the performance objectives of the implementation of the model. A- and D-optimal input signal design methods for a non-linear liquid two-tank model are presented in this paper. The excitation signal is obtained using a finite impulse response filter (FIR) with respect to the accepted application degradation and the power constraint. The MPC controller is then used to control the liquid levels of the double tank system subject to the reference trajectory. The MPC scheme is built based on the linearized and discretized model of the system to predict the system’s succeeding outputs with reference to the future input signal. The novelty of this model-based method consists in including the experiment cost in input design through the objective function. The proposed framework is illustrated by means of numerical examples, and simulation results are discussed.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 4; 883-891
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Online continuous-time adaptive predictive control of the technological glass conditioning process
    Autorzy:
    Drapała, Michał
    Byrski, Witold
    Powiązania:
    https://bibliotekanauki.pl/articles/2175115.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    system identification
    modulating functions method
    model predictive control
    continuous-time systems
    glass forehearth
    Opis:
    Glass production has a great industrial importance and is associated with many technological challenges. Control related problems concern especially the last part of the process, so called glass conditioning. Molten glass is gradually cooled down in a long ceramic channels called forehearths during glass conditioning. The glass temperature in each zone of the forehearth should be precisely adjusted according to the assumed profile. Due to cross-couplings and unmeasured disturbances, traditional control systems based on PID controllers, often do not ensure sufficient control quality. This problem is the main motivation for the research presented in the paper. A Model Predictive Control algorithm is proposed for the analysed process. It is assumed the dynamic model for each zone of the forehearth is identified on-line with the Modulating Functions Method. These continuous-time linear models are subsequently used for two purposes: for the predictive controller tuning, measurable disturbances compensation and for a static set point optimisation. Proposed approach was tested using Partial Differential Equation model to simulate two adjacent zones of the forehearth. The experimental results proved that it can be successfully applied for the aforementioned model.
    Źródło:
    Archives of Control Sciences; 2022, 32, 4; 755--782
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Simple Technique of Initial Speed Identification for Speed-Sensorless Predictive Controlled Induction Motor Drive
    Autorzy:
    Stando, Dariusz
    Kazmierkowski, Marian P.
    Powiązania:
    https://bibliotekanauki.pl/articles/1193851.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    induction motor
    sensorless control
    model predictive control
    MRAS estimator
    initial speed identification
    restarting IM
    Opis:
    This article presents a simple technique of identifying the initial speed that allows for restarting a sensorless induction motor (IM) drive controlled by a model predictive flux control (MPFC). Initial speed identification is required because, according to the research, the applied current-model reference adaptive system (C-MRAS) can restart the IM after failure only if the error of the initial speed set in the estimator is < 25%. The proposed technique is based on short periods of flux generation for the certain initial speed and observation of the estimated torque respond. The direction of the estimated torque determines whether the real speed is higher or lower than the initial one set in the estimator. In two steps, the algorithm identifies the initial speed with an accuracy of 25%. This allows for a quick restart of the IM from any speed, eliminating the disadvantage of the sensorless drive control system with the C-MRAS speed estimator. The experimental results measured on a 50 kW drive which illustrates the operation and performances of the system are presented.
    Źródło:
    Power Electronics and Drives; 2020, 5, 40; 189-197
    2451-0262
    2543-4292
    Pojawia się w:
    Power Electronics and Drives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zastosowanie regulatora typu MPC do sterowania procesem suszenia konwekcyjnego
    Using of the MPC type controller for convection rying process control
    Autorzy:
    Tomkiewicz, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/290820.pdf
    Data publikacji:
    2008
    Wydawca:
    Polskie Towarzystwo Inżynierii Rolniczej
    Tematy:
    wilgotność
    ziarno
    sterowanie adaptacyjne
    suszenie
    identyfikacja
    regulator MPC
    Model Predictive Control
    grain
    adaptive control
    drying
    identification
    humidity
    MPC controller
    model predictive control
    Opis:
    W artykule zostały zaprezentowane badania związane z zastosowaniem regulatora MPC (Model Predictive Control) do sterowania procesem suszenia konwekcyjnego. Związek pomiędzy natężeniem wypływu materiału suszonego a wilgotnością zboża i innymi mierzonymi parametrami jest określony za pomocą hybrydowego modelu składającego się z równania różniczkowego cząstkowego i sieci neuronowej. Sieć neuronowa zapewnia uwzględnienie nieliniowości związanych z dynamiką procesu suszenia. Wagi sieci estymowane są w czasie rzeczywistym przy użyciu algorytmu rozszerzonego filtru Kalmana. Pozwala to na samoczynne adaptowanie się modelu do zmieniających się warunków procesu oraz rodzaju suszonego materiału.
    The article presents studies on the application of the MPC (Model Predictive Control) controller to operate convection drying process. The relationship between outflow rate of dried material and corn moisture content and other measured parameters is determined using a hybrid model consisting of partial differential equation and a neural network. The neural network ensures taking into consideration nonlinearities connected with drying process dynamics. Network weights are estimated in real time using extended algorithm of the Kalman filter. This allows the model to adapt automatically to changing process conditions and dried material type.
    Źródło:
    Inżynieria Rolnicza; 2008, R. 12, nr 5(103), 5(103); 345-352
    1429-7264
    Pojawia się w:
    Inżynieria Rolnicza
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptive control through on-line optimization. The MPCI paradigm and variants
    Autorzy:
    Nikolaou, M.
    Eker, S. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/908314.pdf
    Data publikacji:
    1999
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie adaptacyjne
    sterowanie predykcyjne
    wzbudzanie trwałe
    adaptive control
    model predictive control
    closed-loop identification
    persistent excitation
    linear matrix inequalities
    semidefinite programming
    Opis:
    A new variant of Model Predictive Control and Identification (MPCI) is proposed. The on-line objective is not to minimize the sum of square errors, but to maximize on-line the sum of the lower bounds on the minimum eigenvalues of the information matrices over finite horizons. In that way, inputs to the controlled process are allowed to excite the process highly enough to generate as much modelling information as possible, while the process goes off-spec as little as possible. Constraints can be loosened or tightened according to the need for identification. The effectiveness of the proposed new methodology is illustrated through a number of simulations.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 1999, 9, 1; 25-52
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cascade tanks system identification for robust predictive control
    Autorzy:
    Jakowluk, Wiktor
    Jaszczak, Sławomir
    Powiązania:
    https://bibliotekanauki.pl/articles/2173722.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    application-oriented input design
    Kalman filter
    model predictive control
    MPC
    system identification
    projektowanie wejścia zorientowanego na aplikację
    filtr Kalmana
    sterowanie predykcyjne modelu
    identyfikacja systemu
    Opis:
    The main goal of estimating models for industrial applications is to guarantee the cheapest system identification. The requirements for the identification experiment should not be allowed to affect product quality under normal operating conditions. This paper deals with ensuring the required liquid levels of the cascade system tanks using the model predictive control (MPC) method. The MPC strategy was extended with the Kalman filter (KF) to predict the system’s succeeding states subject to a reference trajectory in the presence of both process and measurement noise covariances. The main contribution is to use the application-oriented input design to update the parameters of the model during system degradation. This framework delivers the least-costly identification experiment and guarantees high performance of the system with the updated model. The methods presented are evaluated both in the experiments on a real process and in the computer simulations. The results of the robust MPC application for cascade system water levels control are discussed.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 6; art. no. e143646
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    System Identification and Model Predictive Control of the Chatter Phenomenon in Turning Process
    Autorzy:
    Karimipour, Atiyeh
    Emami, Mohsen
    Powiązania:
    https://bibliotekanauki.pl/articles/101961.pdf
    Data publikacji:
    2019
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    turning process
    chatter phenomenon
    system identification
    discrete wavelet transform
    model predictive control
    proces toczenia
    zjawisko drgań
    identyfikacja systemu
    dyskretna transformacja falkowa
    kontrola predykcyjna modelu
    Opis:
    Chatter is a series of unwanted and extreme vibrations which frequently happens during different machining processes and impose variety of adverse effects on the machine-tool and surface finish. Chatter has two main types namely forced-chatter and self-existed chatter. The forced-chatter has an external cause; however, self-exited chatter has no external stimuli, rather it is created due to the phase difference between the previous and current waves on the surface of the workpiece. Due to the self-generative nature of this type of chatter, its recognition and prevention is much more difficult. For preventing self-exited chatter its model should be available first. The chatter is usually simulated as a one degree of freedom mass-spring-damper model with unknown parameters that they should be determined somehow. In this paper, the parameters of the tool equation of motion i.e. mass, damping, and stiffness coefficients of the system are predicted through a wavelet-based method online, and then based on the achieved parameters, the system is controlled via Model Predictive Control (MPC) approach. For the validation, the algorithm is applied to 25 different experimental tests in which the acceleration of the tool and cutting force are measured via an accelerometer and a dynamometer. By investigation of the SLDs generated by the predicted parameters, the presented system identification method is validated. Also, it is shown that the chatter vibration is completely restrained by means of MPC. For investigation of the MPC performance, MPC algorithm is compared with PID controller and simulations has indicated a much stronger performance of MPC rather than PID controller in terms of vibration attenuation and control effort.
    Źródło:
    Advances in Science and Technology. Research Journal; 2019, 13, 3; 217-228
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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