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    Wyświetlanie 1-7 z 7
    Tytuł:
    Design of a linear quadratic regulator based on genetic model reference adaptive control
    Autorzy:
    Abdullah, Abdullah I.
    Mahmood, Ali.
    Thanoon, Mohammad A.
    Powiązania:
    https://bibliotekanauki.pl/articles/27314263.pdf
    Data publikacji:
    2022
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    model reference adaptive control
    gradient approach
    Linear Quadratic Regulator
    genetic algorithm
    Opis:
    The conventional control system is a controller that controls or regulates the dynamics of any other process. From time to time, a conventional control system may not behave appropriately online; this is because of many factors like a variation in the dynamics of the process itself, unexpected changes in the environment, or even undefined parameters of the system model. To overcome this problem, we have designed and implemented an adaptive controller. This paper discusses the design of a controller for a ball and beam system with Genetic Model Reference Adaptive Control (GMRAC) for an adaptive mechanism with the MIT rule. Parameter adjustment (selection) should occur using optimization methods to obtain an optimal performance, so the genetic algorithm (GA) will be used as an optimization method to obtain the optimum values for these parameters. The Linear Quadratic Regulator (LQR) controller will be used as it is one of the most popular controllers. The performance of the proposed controller with the ball and beam system will be carried out with MATLAB Simulink in order to evaluate its effectiveness. The results show satisfactory performance where the position of the ball tracks the desired model reference.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 75--81
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust fractional adaptive control based on the strictly positive realness condition
    Autorzy:
    Ladaci, S.
    Charef, A.
    Loiseau, J. J.
    Powiązania:
    https://bibliotekanauki.pl/articles/907854.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie odporne
    sterowanie adaptacyjne
    sprzężenie do przodu
    rachunek ułamkowy
    positive realness
    robust control
    adaptive control
    fractional adaptive control
    model reference adaptive control
    feedforward
    fractional calculus
    Opis:
    This paper presents a new approach to robust adaptive control, using fractional order systems as parallel feedforward in the adaptation loop. The problem is that adaptive control systems may diverge when confronted with finite sensor and actuator dynamics, or with parasitic disturbances. One of the classical robust adaptive control solutions to these problems makes use of parallel feedforward and simplified adaptive controllers based on the concept of positive realness. The proposed control scheme is based on the Almost Strictly Positive Realness (ASPR) property of the plant. We show that this condition implies also robust stability in the case of fractional order controllers. An application to Model Reference Adaptive Control (MRAC) with a fractional order adaptation rule is provided with an implementable algorithm. A simulation example of a SISO robust adaptive control system illustrates the advantages of the proposed method in the presence of disturbances and noise.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2009, 19, 1; 69-76
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fractional order tube model reference adaptive control for a class of fractional order linear systems
    Autorzy:
    Balaska, Hanane
    Ladaci, Samir
    Djouambi, Abdelbaki
    Schulte, Horst
    Bourouba, Bachir
    Powiązania:
    https://bibliotekanauki.pl/articles/330930.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    fractional order system
    linear system
    model reference adaptive control
    fractional adaptive control
    performance tube
    fractional order TMRAC
    system ułamkowego rzędu
    system liniowy
    sterowanie adaptacyjne
    Opis:
    We introduce a novel fractional order adaptive control design based on the tube model reference adaptive control (TMRAC) scheme for a class of fractional order linear systems. By considering an adaptive state feedback control configuration, the main idea is to replace the classical reference model with a single predetermined trajectory by a fractional order performance tube guidance model allowing a set of admissible trajectories. Besides, an optimization problem is formulated to compute an on-line correction control signal within specified bounds in order to update the system performance while minimizing a control cost criterion. The asymptotic stability of the closed loop fractional order control system is demonstrated using an extension of the Lyapunov direct method. The dynamical performance of the fractional order tube model reference adaptive control (FOTMRAC) is compared with the standard fractional order model reference adaptive control (FOMRAC) strategy, and the simulation results show the effectiveness of the proposed control method.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 501-515
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Design of a Taguchi-GRA optimized PID and adaptive PID controllers for speed control of DC motor
    Autorzy:
    George, Mary Ann
    Kamat, Dattaguru V.
    Powiązania:
    https://bibliotekanauki.pl/articles/1955179.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    analysis of variance
    Lyapunov rule
    MIT rule
    model reference adaptive control
    Taguchi-grey relational analysis
    analiza wariancji
    zasada Lyapunowa
    zasada MIT
    adaptacyjna kontrola modelu odniesienia
    analiza relacyjna Taguchi-grey
    Opis:
    DC motors have wide acceptance in industries due to their high efficiency, low costs, and flexibility. The paper presents the unique design concept of a multi-objective optimized proportional-integral-derivative (PID) controller and Model Reference Adaptive Control (MRAC) based controllers for effective speed control of the DC motor system. The study aims to optimize PID parameters for speed control of a DC motor, emphasizing minimizing both settling time (Ts )and % overshoot (% OS) of the closed-loop response. The PID controller is designed using the Ziegler Nichols (ZN) method primarily subjected to Taguchi-grey relational analysis to handle multiple quality characteristics. Here, the Taguchi L9 orthogonal array is defined to find the process parameters that affect Ts and % OS. The analysis of variance shows that the most significant factor affecting Ts and % OS is the derivative gain term. The result also demonstrates that the proposed Taguchi- GRA optimized controller reduces Ts and % OS drastically compared to the ZN-tuned PID controller. This study also uses MRAC schemes using the MIT rule, Lyapunov rule, and a modified MIT rule. The DC motor speed tracking performance is analyzed by varying the adaptation gain and reference signal amplitude. The results also revealed that the proposed MRAC schemes provide desired closed-loop performance in real-time in the presence of disturbance and varying plant parameters. The study provides additional insights into using a modified MIT rule and the Lyapunov rule in protecting the response from signal amplitude dependence and the assurance of a stable adaptive controller, respectively.
    Źródło:
    Archives of Electrical Engineering; 2021, 70, 4; 759-775
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Unified approach to the sliding-mode control and state estimation – application to the induction motor drive
    Autorzy:
    Orlowska-Kowalska, T.
    Tarchala, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/201791.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    induction motor
    sliding mode control
    motor torque control
    chattering
    state estimation
    model reference adaptive system (MRAS)
    Opis:
    In this paper a generalized design procedure of the sliding mode systems is described. A unified approach is applied to control and state variables estimation algorithms. Selected solutions are then applied in the induction motor drive system. An identical design procedure is used to design the speed control and MRAS-type speed estimator. Presented algorithms are verified using experimental tests performed on the 3 kW laboratory setup.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2013, 61, 4; 837-846
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Rotor Resistance Estimator based on Virtual Current Sensor Algorithm for Induction Motor Drives
    Autorzy:
    Adamczyk, Michał
    Powiązania:
    https://bibliotekanauki.pl/articles/1193854.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    induction motor drive
    rotor resistance estimator
    model reference adaptive system
    virtual current sensor
    fault tolerant control
    Opis:
    In this article, model reference adaptive system (MRAS)-based estimator of a rotor resistance of an induction motor (IM) is presented. In contrast to the solutions known from the literature, the reference model of this estimator uses the measured values of the phase current and the adaptive part is a virtual current sensor. The article presents an accurate description of the algorithm taking into account the discrete equations for possible practical implementation in the microprocessor system. In the first step, the impact of motor parameters to stator current estimation quality in the adaptive model was checked. Subsequently, simulation tests of the proposed rotor resistance estimator were carried out for the field-oriented control of the induction motor drive system with a model of an induction motor with fixed parameters and an induction motor with a changing main inductance according to a magnetisation curve. The analysis of the estimator’s work showed its high efficiency and insensitivity to changes in the IM main inductance.
    Źródło:
    Power Electronics and Drives; 2020, 5, 40; 143-156
    2451-0262
    2543-4292
    Pojawia się w:
    Power Electronics and Drives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural network-based MRAC control of dynamic nonlinear systems
    Autorzy:
    Debbache, G.
    Bennia, A.
    Goléa, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/908401.pdf
    Data publikacji:
    2006
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sieć neuronowa
    model odniesienia
    system nieliniowy
    sterowanie adaptacyjne
    obserwator
    stabilność
    neural networks
    reference model
    nonlinear systems
    adaptive control
    observer
    stability
    Opis:
    This paper presents direct model reference adaptive control for a class of nonlinear systems with unknown nonlinearities. The model following conditions are assured by using adaptive neural networks as the nonlinear state feedback controller. Both full state information and observer-based schemes are investigated. All the signals in the closed loop are guaranteed to be bounded and the system state is proven to converge to a small neighborhood of the reference model state. It is also shown that stability conditions can be formulated as linear matrix inequalities (LMI) that can be solved using efficient software algorithms. The control performance of the closed-loop system is guaranteed by suitably choosing the design parameters. Simulation results are presented to show the effectiveness of the approach.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2006, 16, 2; 219-232
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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