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1
Content available remote Moving average signals for the static compensator control
EN
The shunt static compensator with the control based on the average signals is presented. Two control signals are considered - moving RMS value of grid voltage and moving average power of the energy source. The compensator generates reactive current computed in the real time with the use of the iterative method. The multiport representation of the grid is presented. Analytical and simulation results show how the iterative control of the compensator behaves for three kinds of control signals.
PL
Opisano sterowanie kompensatora statycznego z wykorzystaniem dwóch rodzajów sygnałów – przesuwnej wartości skutecznej napięcia sieci i przesuwnej mocy czynnej źródła energii. Kompensator generuje prąd bierny obliczany w czasie rzeczywistym z wykorzystaniem metody iteracyjnej. Pokazano wielowrotnikową reprezentację sieci elektrycznej. Analityczne i numeryczne wyniki pokazują jak przebiega sterowanie iteracyjne dla dwóch rodzajów sygnałów sterujących.
EN
The aim of this paper is to compare two techniques the sliding mode control and incremental conductance, for maximum power point tracking (MPPT) of PV stand-alone system under a rapid change of irradiation and temperature. The comparison study is based on convergence speed, steady-state oscillations, and tracking efficiency. This system consists of a DC/DC boost converter, photovoltaic arrays, load, and MPPT control . The system performance of sliding mode control was compared to the incremental conductance algorithm using the Sim-Power System of MATLAB. From the simulation resulta the sliding mode method shows a better performance and also has a lower oscillation.
PL
Celem tego artykułu jest porównanie dwóch technik, sterowania trybem ślizgowym i przewodności przyrostowej, dla śledzenia punktu maksymalnej mocy (MPPT) w autonomicznym systemie PV przy gwałtownych zmianach napromieniowania i temperatury. Badanie porównawcze opiera się na prędkości zbieżności, oscylacjach stanu ustalonego i wydajności śledzenia. System ten składa się z konwertera doładowania DC/DC, paneli fotowoltaicznych, obciążenia i sterowania MPPT i będzie symulowany przy użyciu systemu Sim-Power firmy MATLAB. Techniki te mają na celu monitorowanie parametrów wyjściowych systemu PV i uzyskanie optymalnego cyklu pracy. Niniejsze opracowanie zawiera szczegółową analizę i porównanie różnych technik.
EN
In this paper, an adaptive distributed formation controller for wheeled nonholonomic mobile robots is developed. The dynamical model of the robots is first derived by employing the Euler-Lagrange equation while taking into consideration the presence of disturbances and uncertainties in practical applications. Then, by incorporating fractional calculus in conjunction with fast terminal sliding mode control and consensus protocol, a robust distributed formation controller is designed to assure a fast and finite-time convergence of the robots towards the required formation pattern. Additionally, an adaptive mechanism is integrated to effectively counteract the effects of disturbances and uncertain dynamics. Moreover, the suggested control scheme’s stability is theoretically proven through the Lyapunov theorem. Finally, simulation outcomes are given in order to show the enhanced performance and efficiency of the suggested control technique.
EN
In this paper, we a reduced induction motor (IM) model is used to control the mechanical speed and flux in the filed oriented control based on sliding mode controller (SMC), associated with a super twisting algorithm second order sliding mode observer (STASMO). The proposed observer is used to enhance the performance of the controller under uncertainties; thus, the observer is used to estimate the rotor flux, and the load torque which is considered as unknown disturbance to the machine. This combination ensures the convergence of the controlled speed and rotor flux to their desired input references in finite time. The results show he robustness of the controller in the presence of unknown disturbance.
PL
W tym artykule wykorzystano model silnika indukcyjnego o zredukowanej prędkości (IM) do sterowania prędkością mechaniczną i strumieniem w zorientowanym polowo sterowaniu opartym na kontrolerze trybu ślizgowego (SMC), związanym z algorytmem super skręcania, obserwatorem trybu ślizgowego drugiego rzędu (STASMO) . Proponowany obserwator służy do zwiększenia wydajności kontrolera w warunkach niepewności; w ten sposób obserwator jest wykorzystywany do oszacowania strumienia wirnika i momentu obciążenia, który jest uważany za nieznane zakłócenie maszyny. Ta kombinacja zapewnia zbieżność kontrolowanej prędkości i strumienia wirnika z pożądanymi wartościami odniesienia wejściowego w skończonym czasie. Wyniki pokazują odporność regulatora w obecności nieznanych zakłóceń.
5
Content available remote A robust intelligent nonlinear control for a VSC-based HVDC station
EN
This paper investigates a robust intelligent non-linear controller for a high-voltage direct current transmission (HVDC) station based on a voltage source converter (VSC). The proposed controller combines fuzzy logic (FL) and sliding mode (SM) techniques. The sliding mode technique is used to model parameter uncertainties, and fuzzy logic is employed to handle non-linearity. The simulation results show that the proposed controller is more efficient under various unfavourable operation conditions compared to other techniques.
PL
W artykule zbadano solidny inteligentny nieliniowy sterownik stacji wysokonapięciowej prądu stałego (HVDC) opartej na konwerterze źródła napięcia (VSC). Proponowany sterownik łączy techniki rozmyte (FL) i ślizgowe (SM). Do modelowania niepewności parametrów wykorzystywana jest technika trybu ślizgowego, a do obsługi nieliniowości wykorzystywana jest logika rozmyta. Wyniki symulacji pokazują, że proponowany sterownik jest bardziej wydajny w różnych niesprzyjających warunkach pracy w porównaniu z innymi technikami.
EN
The use of phtovoltaic energy in water pumping is an economically viable and sustainable solution to rural communities without access to the electricity grid. The aim of this paper is to improve the performance of a phtovoltaic water pumping system by using a new converter structure based on three levels parallel multicell converter. This converter is controlled by two control loops, an external control based on the SMC and FLC MPPT algorithms and an internal control of the output branch current with the hybrid control based on the Petri nets. A comparative study between the boost converter and a three-levels parallel multicellular converter with the SMC and FLC MPPT has been made, which allows us to conclude that the new structure is more advantageous than the conventional structure especially. The boost gives rise to a wide band of strong power oscillations as well as the current and a voltage of PV, which translates into a high harmonic ratio with respect to the three-level parallel multicellular converter structure.
PL
Wykorzystanie energii fotowoltaicznej do pompowania wody jest ekonomicznie opłacalnym i zrównoważonym rozwiązaniem dla społeczności wiejskich bez dostępu do sieci elektrycznej. Celem tego artykułu jest poprawa wydajności fotowoltaicznego systemu pompowania wody poprzez zastosowanie nowej struktury konwertera opartej na trójpoziomowym równoległym konwerterze wieloogniwowym. Przetwornica ta jest sterowana przez dwie pętle sterowania, sterowanie zewnętrzne oparte na algorytmach SMC i FLC MPPT oraz sterowanie wewnętrzne prądu gałęzi wyjściowego ze sterowaniem hybrydowym opartym na sieciach Petriego. Przeprowadzono badanie porównawcze pomiędzy konwerterem boost a trójpoziomowym równoległym konwerterem wielokomórkowym z SMC i FLC MPPT, co pozwala stwierdzić, że nowa konstrukcja jest szczególnie korzystniejsza niż konstrukcja konwencjonalna. Wzmocnienie powoduje powstanie szerokiego pasma silnych oscylacji mocy oraz prądu i napięcia PV, co przekłada się na wysoki współczynnik harmonicznych w stosunku do trójpoziomowej równoległej struktury wielokomórkowej przetwornic.
7
EN
In the paper, a control method using backstepping integrated with sliding mode control based on high-gain observer is proposed for an Electro-Hydraulic system (EHS). The observer is dedicated to estimate full-state variables by using output position feedback. In the initial step, the control design formula is constructed via backstepping technique. Following that, the control signal is designed based on sliding mode control (SMC) algorithm, and thus lead to the controller that has the advantages of these two control laws.
EN
This paper is aimed to study and compare the performance of four different Maximum Power Point Tracking (MPPT) techniques used to extract the maximum power from photovoltaic (PV) systems. The MPPT methods considered in this study include Perturb and Observe (PO), Fuzzy Logic Control (FLC), Sliding Mode Control (SMC) and Fuzzy Sliding Mode Control (FSMC). A PV model and DC-DC power converter are modelled in Matlab Simpower Systems toolbox and the MPPT algorithms are tested under different operating conditions to analyse the performance and limitations of each algorithm.
PL
W artykule przedstawiono porównanie właściwości czterech technik MPPT – Maximum Power Point Tracking stosowanych do sterowania systemami fotowoltaicznymi. Te cztery techniki były symulowane i analizowane w różnych warunkach pracy.
EN
Many real-time systems can be described as cascade space-state models of different orders. In this paper, a new predefined controller is designed using a Strongly Predefined Time Sliding Mode Control (SPSMC) scheme for a cascade high-order nonlinear system. The proposed control scheme based-on SMC methodology is designed such that the system states reach zero within a determined time prior to performing numerical simulation. Moreover, Fixed Time Sliding Mode Control (FSMC) and Terminal Sliding Mode Control (TSMC) schemes are presented and simulated to provide a comparison with the proposed predefined time scheme. The numerical simulation is performed in Simulink/MATLAB for the proposed SPSMC and the other two existing methods on two examples: second and of third order to demonstrate the effectiveness of the proposed SPSMC method. The trajectory tracking of the ship course system is addressed a san example of a second-order system. Synchronization of two chaotic systems, Genesio Tesi and Coullet, is considered as an example of a third-order system. Also, by using two performance criteria, a thorough comparison is made between the proposed predefined time scheme, SPSMC, and the two no predefined time schemes, FSMC and TSMC.
EN
The issue of controlling a swarm of autonomous unmanned surface vehicles (USVs) in a practical maritime environment is studied in this paper. A hierarchical control framework associated with control algorithms for the USV swarm is proposed. In order to implement the distributed control of the autonomous swarm, the control framework is divided into three task layers. The first layer is the tele-operated task layer, which delivers the human operator’s command to the remote USV swarm. The second layer deals with autonomous tasks (i.e. swarm dispersion, or avoidance of obstacles and/or inner-USV collisions), which are defined by specific mathematical functions. The third layer is the control allocation layer, in which the control inputs are designed by applying the sliding mode control method. The motion controller is proved asymptotically stable by using the Lyapunov method. Numerical simulation of USV swarm motion is used to verify the effectiveness of the control framework.
PL
W artykule przedstawiono strukturę obserwatora prędkości kątowej wirnika, która jest oparta na rozszerzonym modelu matematycznym maszyny indukcyjnej klatkowej. Funkcje stabilizujące obserwator uzyskano na podstawie metody backstepping. Ponadto zastosowano ślizgowe funkcje przełączające. Przedstawiono badania eksperymentalne.
EN
The speed observer structure of induction machine in which is based on extended induction machine model is presented in this paper. Stabilizing functions are obtained by using the backstepping approach. Furthermore the sliding mode control law is used. The experimental results are presented.
12
EN
The control of the longitudinal aircraft dynamics is challenging because the mathematical model of aircraft is highly nonlinear. This paper considers a sliding mode control design based on linearization of the aircraft, with the pitch angle and elevator deflection as the trim variables. The design further exploits the decomposition of the aircraft dynamics into its short-period and phugoid approximations. The discrete-time variable structure system synthesis is performed on the base of the elevator transfer function short-period approximation. This control system contains a sliding mode controller, an observer, based on nominal aircraft model without finite zero and two additional control channels for the aircraft and for the aircraft model. The realised system is stable and robust for parameter and external disturbances.
EN
In this paper, an integral finite-time sliding mode control scheme is presented for controlling a chaotic permanent magnet synchronous motor (PMSM). The controller can stabilize the system output tracking error to zero in a finite time. Using Lyapunov’s stability theory, the stability of the proposed scheme is verified. Numerical simulation results are presented to present the effectiveness of the proposed approach.
PL
W artykule przedstawiono nowy estymator prędkości kątowej wykorzystujący ruch ślizgowy. Przedstawiony mechanizm adaptacji prędkości składa się z dwóch części: ciągłej oraz nieciągłej, wykorzystującej funkcję znaku. W porównaniu z dotychczas stosowanymi estymatorami pozwala on uzyskać mniejsze oscylacje estymowanej prędkości oraz zmniejszyć opóźnienie wprowadzane przez filtr dolnoprzepustowy. Analiza teoretyczna estymatora zilustrowana została wynikami badań symulacyjnych.
EN
In the paper a novel sliding mode speed estimator is presented. The proposed adaptation mechanism consists of two parts: continuous and discontinuous, taking the advantage of the sign function. In comparison to the estimators presented so far, it allows to obtain lower oscillations of the estimated speed and to decrease the delay introduced by the low-pass filter. The theoretical analysis is illustrated with simulation test results.
15
EN
This paper presents an analysis by which the dynamic performances of a permanent magnet brushless DC (PMBLDC) motor is controlled through a hysteresis current loop and an outer speed loop with different controllers. The dynamics of the photovoltaic pumping drive system with sliding mode speed controllers are presented. The proposed structure is comprised of a photovoltaic generator associated to a DC-DC converter controlled by fuzzy logic to ensure maximum power point tracking. The PWM signals are generated by the interaction of the motor speed closed-loop system and the current hysteresis. The motor reference current is compared with the motor speed feedback signal. The considered model has been implemented in the Matlab /Simpower environment. The results show the effectiveness of the proposed method in increasing the performance of the water pumping system.
EN
Purpose: In this paper, a regulate of a variable wind energy conversion system, based on a doubly fed induction generator DFIG is proposed, the system we considered is controlled to generate maximum energy while minimizing loads. In low to medium wind speeds, the generator and the power converter control the wind turbine to capture maximum energy from the wind, in the high-wind-speed regions, the wind turbine is controlled to maintain the aerodynamic power produced by the wind turbine. Generator torque and Pitch angle are controlled simultaneously to maximize energy capture. Design/methodology/approach: Two methods for adjusting the aerodynamic power have been studied: For generator load control, The DFIG control structure contains rotor currents and stator powers loops where PI controllers are used. This control could be obtained by applying a DFIG active and reactive power decoupling strategy based on stator flux orientation method, Another controller based on a sliding mode theory is adopted to maximize the extracted power has been used , both of which are employed to regulate the operation of the DFIG. For the pitch control, a nonlinear controller based on artificial intelligence techniques: genetic algorithms, to regulate the blade pitch angle and rotate speed of the wind turbine system. Findings: Proposed DFIG and pitch control algorithms provide good static and dynamic performances. Validity the strategies proposed was analyzed by simulations. Originality/value: The intelligent controller is proposed to blade pitch position control above the rated wind speed in this paper; Genetic Algorithm based controller gave better results. Simulated wind turbine parameters are obtained from a real turbine and generating system. Hence, proposed controllers can be easily adapted to real time applications and operated with real wind turbines. Compared simulation results validate the proposed method in the paper is an effective method.
EN
The aim of this paper is hybrid fuzzy sliding mode control of a Doubly Fed Induction Generator (DFIG) in the form of a wind turbine. This type of control is introduced to avoid the major disadvantage of variable structure systems, namely the chattering phenomenon. Variable structure ensures the high dynamic of convergence and robustness towards parametric variations and disturbances. Fuzzy control is introduced here in order to remove residual vibrations in high frequencies. That approach is used to control the mechanical speed and the reactive power exchanged between the stator circuit and the grid. Those variables are decoupled through vector control. The feasibility of this work is proven by mathematical and simulation models based on MATLAB.
18
Content available remote Sliding mode control of the DC drive with relative degree higher than one
EN
Certain problems concerning the higher order sliding mode (SM) controller have been presented. SM methodology has been applied to DC drive system. The control system consists of two control feedbacks in a cascade structure - conventional PI current controller and SM position and velocity controller. Due to the relative degree of sliding function is higher than one, the second order sliding controller has been suggested. To verify the theoretical results, simulation studies have been carried out.
PL
W artykule przedstawiono zagadnienia syntezy regulatora ślizgowego wyższego rzędu. Metodę zastosowano dla układu napędowego prądu stałego o kaskadowej strukturze regulacji. Zaproponowano konwencjonalny PI regulator prądu, natomiast regulator ślizgowy został określony dla pętli regulacyjnej położenia i prędkości kątowej. Stopień relatywności dla funkcji ślizgowej jest większy od jeden, zastosowano więc regulator ślizgowy drugiego rzędu. Metodę zweryfikowano za pomocą badań symulacyjnych.
EN
It is well known that modern control of induction motor relies on a good dynamic model of the motor. Extensive research and activity have been devoted to the problem of induction motor control over the last decade. In this paper we introduce backstepping control with amelioration of performance to guarantee stability of the system. Accurate knowledge of the rotor speed and flux position is the key factor in obtaining a high-performance and high-efficiency induction-motor drive. Thus a sliding mode observer design is presented. Simulation results are included to illustrate good performance of backstepping control of sensorless induction motors with flux observer.
PL
W pracy przedstawiono dyskretną implementację układu sterowania ślizgowego dla napędu bezpośredniego z silnikiem synchronicznym z magnesami trwałymi. Dla wyeliminowania szybkich przełączeń zastosowano strefę graniczną, a dodatkowy człon całkujący eliminuje uchyb ustalony. W pracy przedstawiono zasady doboru nastaw regulatora dla zmiennych parametrów układu. Rozważania teoretyczne zilustrowano badaniami symulacyjnymi.
EN
This paper focuses on the discrete implementation of the sliding mode controller to direct drive with permanent magnet synchronous motor. To avoid the chattering the boundary layer is used. Additional integrator is used to eliminate steady state errors. The tuning method for variable system parameters is presented. Simulation results show that the control approach can decrease the tracking error, enhance the system's robustness and attenuate high frequency chattering in the control signal.
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