Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "fuzzy PID" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 18
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:
Adaptive fuzzy control for a class of constrained nonlinear systems with application to a surface vessel
Autorzy:
Jamalzade, M S.
Koofigar, H. R.
Ataei, M.
Powiązania:
https://bibliotekanauki.pl/articles/279390.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
self-regulator
fuzzy PID controller
constraint nonlinear systems
uncertainty
fuzzy estimation
Opis:
In this paper, adaptive control for a class of uncertain nonlinear systems with input constraints is addressed. The main goal is to achieve a self-regulator PID controller whose coefficients are adjusted by using some adaptive fuzzy rules. The constraints on the control signal are taken into account as a saturation operator. The stability of the closed-loop system is analytically proved by using the Lyapunov stability theorem. The proposed method is then applied to a surface vessel with uncertain dynamic equations. The simulation results show the effectiveness of the proposed control strategy.
Źródło:
Journal of Theoretical and Applied Mechanics; 2016, 54, 3; 987-1000
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:
Energy management strategy considering energy storage system degradation for hydrogen fuel cell ship
Autorzy:
Cao, Wei
Geng, Pan
Xu, Xiaoyan
Tarasiuk, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/32921248.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
hydrogen fuel cell ship
energy management
fuzzy PID
equivalent energy consumption minimum
energy storage system degradation
Opis:
A hybrid energy system (HES) including hydrogen fuel cell systems (FCS) and a lithium-ion (Li-ion) battery energy storage system (ESS) is established for hydrogen fuel cell ships to follow fast load transients. An energy management strategy (EMS) with hierarchical control is presented to achieve proper distribution of load power and enhance system stability. In the high-control loop, a power distribution mechanism based on a particle swarm optimization algorithm (PSO) with an equivalent consumption minimization strategy (ECMS) is proposed. In the low-level control loop, an adaptive fuzzy PID controller is developed, which can quickly restore the system to a stable state by adjusting the PID parameters in real time. Compared with the rule-based EMS, hydrogen consumption is reduced by 5.319%, and the stability of the power system is significantly improved. In addition, the ESS degradation model is developed to assess its state of health (SOH). The ESS capacity loss is reduced by 2% and the daily operating cost of the ship is reduced by 1.7% compared with the PSO-ECMS without considering the ESS degradation.
Źródło:
Polish Maritime Research; 2023, 2; 95-104
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Auto-tuning of PID controller based on fuzzy logic
Autorzy:
Niewiara, Ł.
Zawirski, K.
Powiązania:
https://bibliotekanauki.pl/articles/97393.pdf
Data publikacji:
2013
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
PID controller
auto-tuning
fuzzy logic
Opis:
Issues related to the automatic selection of the PID controller settings have been known for several years. This article describes the concept of self-tuning using fuzzy logic block (FLB). The FLB represents expert knowledge and in the process serves as the master. It describes the advantages of the designed structure of fuzzy logic simulation system application. The paper contains block diagram descriptions of designed controller and control loop. The designed tuning algorithm bases on quality indicators and rule bases which was described as membership functions. The readjustment of the controller settings takes place in subsequent iterations of the tuning process. Simulation tests result of the proposed tuning system topology were presented. As the simulation environment was used Matlab Simulink.
Źródło:
Computer Applications in Electrical Engineering; 2013, 11; 230-240
1508-4248
Pojawia się w:
Computer Applications in 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:
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:
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:
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:
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:
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 of an omnidirectional mecanum-wheeledplatform with a fuzzy logic controller
Autorzy:
Typiak, A.
Rykała, Ł.
Powiązania:
https://bibliotekanauki.pl/articles/245432.pdf
Data publikacji:
2018
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
FLC
PID controller
DC motor
kinematics
wheeled platforms
mecanum wheel
fuzzy logic
kontroler PID
silnik prądu stałego
kinematyka
platforma kołowa
logika rozmyta
Opis:
This article presents the process of designing a fuzzy logic controller (FLC) to be applied in the control system for the tracking movement of an omnidirectional Mecanum-wheeled platform, where the tracking movement is defined as the execution of a specific movement of the omnidirectional Mecanum-wheeled platform along a preset path. The conventional PID controller, which is a popular choice for control systems, was replaced with a control algorithm featuring fuzzy logic elements. The findings from numerical testing of the control system with the applied FLC were compared with the results of numerical testing using a variant of a conventional PID controller. The comparison led to a feasibility study of the FLC for the kinematic control of the omnidirectional Mecanum-wheeled platform. The article compares the results of applying an FLC and a variant of a conventional PID controller for the tracking control of an omnidirectional-wheeled platform with mecanum wheels. It was assumed in this work that kinematic equations would be sufficient in this case to plan the trajectory (path) of a characteristic point for the omnidirectional-wheeled platform.
Źródło:
Journal of KONES; 2018, 25, 1; 423-432
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
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 1-15 z 18

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies