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    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:
    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:
    Wpływ wybranych parametrów zakłóceń na jakość klasycznego i rozmytego sterowania piecem oporowym
    Influence of Selected Parameters of Interference on the Quality of Classical and Fuzzy Control Resistance Furnace
    Autorzy:
    Śmierciak, P.
    Ziółkowski, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/381792.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    regulator PID
    sterowanie rozmyte
    jakość sterowania
    piece odlewnicze
    PID controller
    fuzzy control
    quality control
    foundry furnaces
    Opis:
    Regulatory klasyczne, takie jak na przykład PID, są stosowane od wielu lat w zróżnicowanych układach sterowania procesami technologicznymi oraz w sprzętach gospodarstwa domowego. Często jednak regulatory klasyczne są zastępowane przez regulatory rozmyte. Optymalnie nastrojone regulatory rozmyte są zazwyczaj lepsze niż regulatory klasyczne w sterowaniu procesami technologicznymi. W artykule przedstawiono wpływ wybranych parametrów zakłóceń na jakość sterowania automatycznego układu z regulatorami typu PID i rozmytym. Ocena jakości sterowania została dokonana dla przyjętych całkowych na podstawie przedstawionych wyników symulacji pracy odlewniczego pieca oporowego. Przeanalizowano nie tylko błąd sterowania, ale także znaczenie amplitudy i kształtu sygnału sterującego.
    Classical controller, for example PID, have been used for many years in control systems of different industry technological processes and household equipment. Classical controllers have been often replaced by fuzzy controllers. Optimal tuning fuzzy controller is usually better than classical controller in control of technological processes. The paper presents an influence of selected interference parameters on automatic system control with PID or optimal fuzzy controllers. Evaluation of control quality for defined integral criterions has been done based on presented results of foundry resistance furnace work simulation. Not only a control error, but also a importance of control signal amplitude and shape have been analyzed.
    Źródło:
    Archives of Foundry Engineering; 2014, 14, 4 spec.; 119-122
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    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:
    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:
    Porównanie wyników symulacji wpływu kształtu i amplitudy zakłóceń na jakość sterowania piecem oporowym w układzie z regulatorem PID lub rozmytym
    The Simulation Results Comparison of Influence of Shape and Interference Amplitude on Control Quality of Resistance Furnace in a System Equipped with PID or Fuzzy Regulators
    Autorzy:
    Śmierciak, P.
    Ziółkowski, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/383178.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    piec odlewniczy
    piec oporowy
    regulator PID
    regulator rozmyty
    jakość sterowania
    foundry furnace
    resistance furnace
    PID controller
    fuzzy controller
    control quality
    Opis:
    W artykule przedstawiono wpływ wybranych parametrów zakłóceń na jakość sterowania automatycznego układu z regulatorem klasycznym PID oraz optymalnie nastrojonym regulatorem rozmytym o założonej strukturze. Na podstawie przedstawionych wyników symulacji pracy odlewniczego elektrycznego pieca oporowego dokonano oceny jakości sterowania dla przyjętych całkowych kryteriów jakości sterowania. Ocenie poddano błąd sterowania oraz kształt sygnału sterującego obiektem.
    The article presents the selected, interference parameters (form, amplitude and frequency) influencing the quality of automatic steering system with classical PID regulator, and optimally tuned fuzzy regulator with formed structure. Based on the presented results of simulation process of electrical resistance furnace, the evaluation of steering quality for adopted criteria has been made. The steering failure and the form of object’s steering signal was evaluated.
    Źródło:
    Archives of Foundry Engineering; 2015, 15, 4 spec.; 133-138
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    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:
    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
      Wyświetlanie 1-10 z 10

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