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    Tytuł:
    Fuzzy-PID control method for two-stage vibration isolation system
    Połączenie sterowania rozmytego z regulatorem PID w dwustopniowym układzie wibroizolacji
    Autorzy:
    Zhao, C-S.
    Zhu, S-J.
    He, Q-W.
    Powiązania:
    https://bibliotekanauki.pl/articles/280755.pdf
    Data publikacji:
    2007
    Wydawca:
    Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
    Tematy:
    two-stage vibration isolation system
    fuzzy-PID control
    simulation
    Opis:
    The arithmetic of PID control is simple and the stability of it is good. However, the dynamic characteristics of PID control are poor. The fuzzy logic control method is flexible and adaptive. It does not rely on a mathematical model of the system and can deal with the nonlinearity of parameters and uncertain problems. However, the stability of fuzzy logic control is poor. In this paper, fuzzy logic control combined with PID control is applied to a two-stage vibration isolation system to improve the vibration isolation effectiveness. Simulation results show that the method is effective.
    Arytmetyka regulatora PID jest prosta, a jego stabilność dobra. Jednakże charakterystyki dynamiczne PID już tak korzystne nie są. Z drugiej strony, metody sterowania oparte na logice rozmytej są elastyczne i cechuje je duża zdolność adaptacyjna. Nie polegają one na ścisłym modelu matematycznym danego układu i dobrze sobie radzą z nieliniowościami parametrów i słabo zdefiniowanymi zagadnieniami. Niestety stabilność sterowania z logiką rozmytą jest niedostateczna. W pracy zaprezentowano rodzaj kombinacji metody logiki rozmytej z regulatorem PID zastosowanej do dwustopniowego układu izolacji drgań. Przeprowadzone symulacje pokazały efektywność takiego podejścia.
    Źródło:
    Journal of Theoretical and Applied Mechanics; 2007, 45, 1; 171-177
    1429-2955
    Pojawia się w:
    Journal of Theoretical and Applied Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Research on torque ripple suppression of brushless DC motor based on PWM modulation
    Autorzy:
    Daode, Zhang
    Wei, Lingkang
    Hu, Xinyu
    Zhang, Chupeng
    Li, Xuesheng
    Powiązania:
    https://bibliotekanauki.pl/articles/141390.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    DC brushless motor
    electric propulsion
    fuzzy PID control
    torque ripple
    PWM_ON_PWM modulation
    Opis:
    Brushless DC motors are often used as the power sources for modern ship electric propulsion systems. Due to the electromagnetic torque ripple of the motor, the traditional control method reduces the drive performance of the motor under load changes. Aiming at the problem of the torque ripple of the DC brushless motor during a noncommutation period, this paper analysis the reasons for the torque ripple caused by pulsewidth modulation (PWM), and proposes a PWM_ON_PWM method to suppress the torque ripple of the DC brushless motor. Based on the mathematical model of a DC brushless motor, this method adopts a double closed-loop control method based on fuzzy control to suppress the torque ripple of the DC brushless motor. The fuzzy control technology is integrated into the parameter tuning process of the proportional–integral–derivative (PID) controller to effectively improve the stability of the motor control system. Under the Matlab/Simulink platform, the response performance of different PID control methods and the torque characteristics of different PWM modulation methods are simulated and compared. The results show that the fuzzy adaptive PID control method has good dynamic response performance. It is verified that the PWM_ON_PWM modulation method can effectively suppress the torque ripple of the motor during non-commutation period, improve the stability of the double closed-loop control system and meet the driving performance of the motor under different load conditions.
    Źródło:
    Archives of Electrical Engineering; 2019, 68, 4; 843-858
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Simulation and implementation of alternative attitude control algorithms for a micro multirotor flying platform
    Autorzy:
    Gąsior, P.
    Gąsior, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/114654.pdf
    Data publikacji:
    2015
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    quadrotor
    control
    fuzzy logic
    ANN
    PID
    NeuroQuad
    Opis:
    The most popular control algorithm in attitude stabilization of multirotor aerial vehicles is a PID controller. It is used so frequently because of low computational requirements and simplicity of implementation and tuning. However, there are many other control algorithms suitable for this task, for example fuzzy logic or neural networks controllers. These algorithms are more complex than PID, but with appropriate knowledge and hardware it is possible to implement them in the on-board controller. This paper presents the comparison of the mentioned algorithms during simulation experiments. The construction process of a micro multirotor flying platform NeuroQuad and the implementation of the tested algorithms on this platform are described.
    Źródło:
    Measurement Automation Monitoring; 2015, 61, 7; 346-348
    2450-2855
    Pojawia się w:
    Measurement Automation Monitoring
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of two controllers for directional control of a hybrid electric vehicle
    Autorzy:
    Dash, B. K.
    Subudhi, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/229825.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    directional control
    active steering
    fuzzy logic control
    PID control
    hybrid vehicle
    Opis:
    Directional response of a vehicle implies changing its direction when sustaining lateral acceleration while moving on the road. From this response, the vehicle's explicit capabilities as well as its contribution to the system performance of the driver/vehicle combination are obtained. In vehicle control literature, handling is often used interchangeably with cornering, turning, or directional response. This paper focuses one aspect of the handling i.e. directional response. Two different controllers, namely a PID controller and a Fuzzy Logic Controller (FLC) for a hybrid electric vehicle (HEV) are designed in this paper to control the vehicle's steering in a smooth lane change maneuver. The performances of the aforesaid two controllers have been studied extensively in this paper. For achieving an improved path tracking and directional response, parameters of both the PID and FLC have been tuned and their performances have been compared. Further, the effect of changing the scale factors in the fuzzy logic approach to obtaining directional response is presented. To validate the above two control performances, a nonlinear simulation model of a HEV is developed and is used in simulation studies. Both the controllers track the desired directional signal efficiently. Both PID and Fuzzy controllers provide competitive performances. Although with the assumption of all parameters of the vehicle available PID controller exhibits slightly better dynamic performance but in the real-world scenario the fuzzy controller is preferred due to its robustness i.e. it does not depend on the parameters of the vehicle.
    Źródło:
    Archives of Control Sciences; 2012, 22, 2; 191-215
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-region fuzzy logic controller with local PID controllers for U-tube steam generator in nuclear power plant
    Autorzy:
    Puchalski, B.
    Duzinkiewicz, K.
    Rutkowski, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/229505.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    nuclear power plant
    U-tube steam generator
    PID control
    fuzzy logic
    multiregion PID controller
    advanced control systems
    Opis:
    In the paper, analysis of multi-region fuzzy logic controller with local PID controllers for steam generator of pressurized water reactor (PWR) working in wide range of thermal power changes is presented. The U-tube steam generator has a nonlinear dynamics depending on thermal power transferred from coolant of the primary loop of the PWR plant. Control of water level in the steam generator conducted by a traditional PID controller which is designed for nominal power level of the nuclear reactor operates insufficiently well in wide range of operational conditions, especially at the low thermal power level. Thus the steam generator is often controlled manually by operators. Incorrect water level in the steam generator may lead to accidental shutdown of the nuclear reactor and consequently financial losses. In the paper a comparison of proposed multi region fuzzy logic controller and traditional PID controllers designed only for nominal condition is presented. The gains of the local PID controllers have been derived by solving appropriate optimization tasks with the cost function in a form of integrated squared error (ISE) criterion. In both cases, a model of steam generator which is readily available in literature was used for control algorithms synthesis purposes. The proposed multi-region fuzzy logic controller and traditional PID controller were subjected to broad-based simulation tests in rapid prototyping software - Matlab/Simulink. These tests proved the advantage of multi-region fuzzy logic controller with local PID controllers over its traditional counterpart.
    Źródło:
    Archives of Control Sciences; 2015, 25, 4; 429-444
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi motor neural PID relative coupling speed synchronous control
    Autorzy:
    Zhang, Yonglong
    An, Yuejun
    Wang, Guangyu
    Kong, Xiangling
    Powiązania:
    https://bibliotekanauki.pl/articles/141259.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    fuzzy control
    multi motor synchronous control
    neural PID
    relative coupling control
    vacuum pump
    Opis:
    When the traditional multi-motor speed synchronous control strategy is applied to the vacuum pump system, it is prone to the drawbacks of large synchronization error. In this paper, a simplified mathematical model of the motor for a vacuum pump is established and the transfer function is introduced, which weakens the multivariable, strong coupling and nonlinear characteristics of the motor system. According to the basic principle of the relative coupling control strategy, the neural network Proportion Integration Differentiation (PID) is introduced as a speed compensator in this system. It effectively improves the synchronization and anti-interference ability of the multi motor
    Źródło:
    Archives of Electrical Engineering; 2020, 69, 1; 69-88
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    MFC/IMC system for processes with varying time-delay exemplified by a 4 MW steam boiler
    Układ MFC/IMC w regulacji procesami o zmiennym opóźnieniu na przykładzie kotła parowego mocy 4 MW
    Autorzy:
    Skoczowski, S.
    Biały, P.
    Pietrusewicz, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/158136.pdf
    Data publikacji:
    2004
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    robust PID control
    fuzzy logic
    model following control (MFC)
    regulacja typu model-following
    Opis:
    The paper deals with robust model-following control of a process with varying time-delay. The proposed MFC/IMC structure offers more robustness to plant parameter perturbations and less sensitivity to disturbances, as compared with classic single-feedback loop with PID controller. On the basis of presented results of oxide content control in a 4 MW steam boiler one can compare properties of the proposed structure with properties of the classic single-loop system with PID controller. Also, the use of PD/PI fuzzy-logic controller as a part of MFC/IMC system confirms is flexibility.
    Artykuł prezentuje wyniki badań nad oporną strukturą regulacji MFC/IMC dla obiektów ze zmiennym opóźnieniem. proponowana struktura chrakteryzuje się małą wrażliwością na perturbacje nominalnego modelu sterowanego obiektu, oraz znacznym tłumieniem zakłóceń wejściowych oraz tych sprowadzonych do wyjścia obiektu. Wyniki badań symulacyjnych dla obiektów aperiodycznych z opóźnieniem z użyciem struktury MFC/IMC sprawdzone zostały na przykładzie procesu doregulowywania zawartości tlenu w kotłach parowych mocy 4 MW, i porównane z klasyczną strukturą jednopętlową z regulatorem PID.
    Źródło:
    Pomiary Automatyka Kontrola; 2004, R. 50, nr 12, 12; 39-42
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Research on speed control of high-speed train based on multi-point model
    Autorzy:
    Hou, Tao
    Guo, Yang-yang
    Niu, Hong-xia
    Powiązania:
    https://bibliotekanauki.pl/articles/224081.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    high-speed train
    multi-point model
    predictive control
    fuzzy control
    PID control
    speed control
    pociąg ekspresowy
    model wielopunktowy
    sterowanie predykcyjne
    sterowanie rozmyte
    sterowanie PID
    prędkość
    Opis:
    The traditional train speed control research regards the train as a particle, ignoring the length of the train and the interaction force between carriages. Although this method is simple, the control error is large for high-speed trains with the characteristics of power dispersion. Moreover, in the control process, if the length of the train is not considered, when the train passes the slope point or the curvature point, the speed will jump due to the change of the line, causing a large control error and reducing comfort. In order to improve the accuracy of high-speed train speed control and solve the problem of speed jump when the train runs through variable slope and curvature, the paper takes CRH3 EMU data as an example to establish the corresponding multi-point train dynamics model. In the control method, the speed control of high-speed train needs to meet the fast requirement. Comparing the merits and demerits of classical PID control, fuzzy control and fuzzy adaptive PID control in tracking the ideal running curve of high-speed train, this paper chooses the fuzzy adaptive PID control with fast response. Considering that predictive control can predict future output, a predictive fuzzy adaptive PID controller is designed, which is suitable for high-speed train model based on multi-point. The simulation results show that the multi-point model of the high-speed train can solve the speed jump problem of the train when passing through the special lines, and the predictive fuzzy adaptive PID controller can control the speed of the train with multi-point model, so that the train can run at the desired speed, meeting the requirements of fast response and high control accuracy.
    Źródło:
    Archives of Transport; 2019, 50, 2; 35-46
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Implementation and verification of course controllers in the inland navigation simulator (InSim)
    Autorzy:
    Zalewski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/360097.pdf
    Data publikacji:
    2013
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    InSim
    shiphandling simulation
    PID controller
    fuzzy controller
    ship’s course control algorithm
    Opis:
    The formal verification of performance properties of a ship’s course control algorithm used in the InSim simulator of Maritime University of Szczecin is presented in the paper. Implementation of fuzzification, fuzzy rules and defuzzification techniques allowed the construction of a controller tuned in accordance to expert knowledge as an alternative to the industry PID standard. Both controllers’ structures are analysed. Their verification leads to the assessment and comparison of dynamic properties of a modelled ship’s course control. Further development of course controllers into track controllers has been discussed as well.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2013, 36 (108) z. 1; 188-194
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of energy consumption in the classical (PID) and fuzzy control of foundry resistance furnace
    Autorzy:
    Ziółkowski, E.
    Śmierciak, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/380361.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    automatyzacja procesów odlewniczych
    piec odlewniczy
    regulator PID
    sterownik rozmyty
    automation of foundry processes
    control of foundry furnaces
    PID
    fuzzy controllers
    Opis:
    Foundry resistance furnaces are thermal devices with a relatively large time delay in their response to a change in power parameters. Commonly used in automation classical PID controllers do not meet the requirements of high-quality control. Developed in recent years, fuzzy control theory is increasingly being used in various branches of economy and industry. Fuzzy controllers allow to introduce new developments in control systems of foundry furnaces as well. Correctly selected fuzzy controller can significantly reduce energy consumption in a controlled thermal process of heating equipment. The article presents a comparison of energy consumption by control system of foundry resistance furnace, equipped with either a PID controller or fuzzy controller optimally chosen.
    Źródło:
    Archives of Foundry Engineering; 2012, 12, 3; 129-132
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Design of three control algorithms for an averaging tank with variable filling
    Autorzy:
    Kolankowski, Michał
    Piotrowski, Robert
    Powiązania:
    https://bibliotekanauki.pl/articles/2105996.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
    Tematy:
    control system
    fuzzy control system
    integral control system
    LQR
    mathematical model
    PID control system
    state feedback controller
    tank with variable filling
    Opis:
    An averaging tank with variable filling is a nonlinear multidimensional system and can thus be considered a complex control system. General control objectives of such object include ensuring stability, zero steady-state error, and achieving simultaneously shortest possible settling time and minimal overshoot. The main purpose of this research work was the modeling and synthesis of three control systems for an averaging tank. In order to achieve the intended purpose, in the first step, a mathematical model of the control system was derived. The model was adapted to the form required to design two out of three planned control systems by linearization and reduction of its dimensions, resulting in two system variants. A multivariable proportional-integral-derivative (PID) control system for the averaging tank was developed using optimization for tuning PID controllers. State feedback and output feedback with an integral action control system for the considered control system was designed using a linear-quadratic regulator (LQR) and optimization of weights. A fuzzy control system was designed using the Mamdani inference system. The developed control systems were tested using theMATLAB environment. Finally, the simulation results for each control algorithm (and their variants) were compared and their performance was assessed, as well as the effects of optimization in the case of PID and integral control (IC) systems.
    Źródło:
    Acta Mechanica et Automatica; 2022, 16, 2; 136--150
    1898-4088
    2300-5319
    Pojawia się w:
    Acta Mechanica et Automatica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Simulation and Analysis of Sintering Furnace Temperature Based on Fuzzy Neural Network Control
    Autorzy:
    Chaoxin, Zou
    Rong, Li
    Zhiping, Xie
    Ming, Su
    Jingshi, Zeng
    Xu, Ji
    Xiaoli, Ye
    Ye, Wang
    Powiązania:
    https://bibliotekanauki.pl/articles/1837849.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    fuzzy neural network
    furnace
    sintering
    temperature control
    PID
    sieć neuronowa rozmyta
    piec
    spiekanie
    kontrola temperatury
    Opis:
    Aiming at the problems of delay and couple in the sintering temperature control system of lithium batteries, a fuzzy neural network controller that can solve complex nonlinear temperature control is designed in this paper. The influence of heating voltage, air inlet speed and air inlet volume on the control of temperature of lithium battery sintering is analyzed, and a fuzzy control system by using MATLAB toolbox is established. And on this basis, a fuzzy neural network controller is designed, and then a PID control system and a fuzzy neural network control system are established through SIMULINK. The simulation shows that the response time of the fuzzy neural network control system compared with the PID control system is shortened by 24s, the system stability adjustment time is shortened by 160s, and the maximum overshoot is reduced by 6.1%. The research results show that the fuzzy neural network control system can not only realize the adjustment of lithium battery sintering temperature control faster, but also has strong adaptability, fault tolerance and anti-interference ability.
    Źródło:
    Archives of Foundry Engineering; 2021, 21, 1; 23-30
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Simulation and Analysis of Sintering Furnace Temperature Based on Fuzzy Neural Network Control
    Autorzy:
    Chaoxin, Zou
    Rong, Li
    Zhiping, Xie
    Ming, Su
    Jingshi, Zeng
    Xu, Ji
    Xiaoli, Ye
    Ye, Wang
    Powiązania:
    https://bibliotekanauki.pl/articles/1837792.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    fuzzy neural network
    furnace
    sintering
    temperature control
    PID
    sieć neuronowa rozmyta
    piec
    spiekanie
    kontrola temperatury
    Opis:
    Aiming at the problems of delay and couple in the sintering temperature control system of lithium batteries, a fuzzy neural network controller that can solve complex nonlinear temperature control is designed in this paper. The influence of heating voltage, air inlet speed and air inlet volume on the control of temperature of lithium battery sintering is analyzed, and a fuzzy control system by using MATLAB toolbox is established. And on this basis, a fuzzy neural network controller is designed, and then a PID control system and a fuzzy neural network control system are established through SIMULINK. The simulation shows that the response time of the fuzzy neural network control system compared with the PID control system is shortened by 24s, the system stability adjustment time is shortened by 160s, and the maximum overshoot is reduced by 6.1%. The research results show that the fuzzy neural network control system can not only realize the adjustment of lithium battery sintering temperature control faster, but also has strong adaptability, fault tolerance and anti-interference ability.
    Źródło:
    Archives of Foundry Engineering; 2021, 21, 1; 23-30
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Low-cost navigation and guidance systems for Unmanned Aerial Vehicles. Part 2: Attitude determination and control
    Autorzy:
    Sabatini, R.
    Rodriguez, L.
    Kaharkar, A.
    Bartel, C.
    Shaid, T.
    Zammit-Mangion, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/320577.pdf
    Data publikacji:
    2013
    Wydawca:
    Polskie Forum Nawigacyjne
    Tematy:
    GNSS Attitude Determination
    Attitude Determination and Control
    unmanned aerial vehicle
    Low-cost Navigation Sensors
    Fuzzy Logic Controller
    PID Controller
    Opis:
    This paper presents the second part of the research activity performed by Cranfield University to assess the potential of low-cost navigation sensors for Unmanned Aerial Vehicles (UAVs). This part focuses on carrier-phase Global Navigation Satellite Systems (GNSS) for attitude determination and control of small to medium size UAVs. Recursive optimal estimation algorithms were developed for combining multiple attitude measurements obtained from different observation points (i.e., antenna locations), and their efficiencies were tested in various dynamic conditions. The proposed algorithms converged rapidly and produced the required output even during high dynamics manoeuvres. Results of theoretical performance analysis and simulation activities are presented in this paper, with emphasis on the advantages of the GNSS interferometric approach in UAV applications (i.e., low cost, high data-rate, low volume/weight, low signal processing requirements, etc.). The simulation activities focussed on the AEROSONDE UAV platform and considered the possible augmentation provided by interferometric GNSS techniques to a low-cost and low-weight/volume integrated navigation system (presented in the first part of this series) which employed a Vision-Based Navigation (VBN) system, a Micro-Electro-Mechanical Sensor (MEMS) based Inertial Measurement Unit (IMU) and code-range GNSS (i.e., GPS and GALILEO) for position and velocity com-putations. The integrated VBN-IMU-GNSS (VIG) system was augmented using the intefero-metric GNSS Attitude Determination (GAD) sensor data and a comparison of the performance achieved with the VIG and VIG/GAD integrated Navigation and Guidance Systems (NGS) is presented in this paper. Finally, the data provided by these NGS are used to optimise the design of a hybrid controller employing Fuzzy Logic and Proportional-Integral-Derivative (PID) techniques for the AEROSONDE UAV.
    Artykuł przedstawia drugą część badań wykonanych na Uniwersytecie Cranfield dla oszacowania potencjalnych możliwości tanich czujników nawigacyjnych dla bezzałogowych obiektów latających (UAVs). Ta część skupia się na pomiarach fazowych w globalnych nawigacyjnych systemach satelitarnych (GNSS) dla określenia orientacji przestrzennej i sterowania małego lub średniego UAV. Zastosowano rekurencyjne algorytmy optymalnej estymacji dla łącznego przetwarzania różnorodnych pomiarów otrzymanych za pomocą systemu wielkoantenowego testowanego w różnorodnych warunkach wynikających z ruchu obiektu. Zaproponowane algorytmy okazały się zbieżne i zapewniły oczekiwane rezultaty nawet w warunkach bardzo dynamicznych manewrów. Przedstawiono wyniki analiz teoretycznych oraz symulacji, zwracając uwagę na zalety podejścia interferometrycznego w technice GNSS zastosowanej w warunkach wynikających z cech UAV (niski koszt, wysoka szybkość transmisji danych, niska waga i objętość, niewielkie wymagania odnośnie przetwarzania sygnału itd.). Symulacje odniesiono do UAV typu AEROSONDE z zamiarem poszerzenia możliwości systemu w efekcie zastosowania technik interferometrii GNSS, łącznie z tanimi i niewielkimi zintegrowanymi systemami nawigacyjnymi (przedstawionymi w pierwszej części badań w poprzednim artykule) zbudowanymi na systemach optycznych oraz systemie inercjalnym opartym na sensorach klasy MEMS, współpracującym z kodowym systemem GNSS. W artykule przedstawiono szczegółową analizę własności systemu zintegrowanego, łączącego techniki optyczne z GNSS i inercjalnymi, dodatkowo wspartego technikami interferometrycznymi GNSS dla określenia orientacji przestrzennej obiektu (GNSS Attitude Determination — GAD) oraz porównania z różnymi kombinacjami tych modułów. Ponadto podjęto próbę zastosowania danych dostarczonych przez opisany system NGS do zoptymalizowania mieszanego kontrolera wykorzystującego logikę rozmytą i klasyczny regulator PID do sterowania bezzałogowcem AEROSONDE.
    Źródło:
    Annual of Navigation; 2013, 20; 97-126
    1640-8632
    Pojawia się w:
    Annual of Navigation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-14 z 14

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