Wyniki wyszukiwania - Biblioteka Nauki

1

A tuning of PID power controller using particle swarm optimization for an electro-surgical unit

100%

Mohammed M. J. , Abed J. K. , Mahdi A. J. , Hussein B. M.

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tom R. 99, nr 10

23--29

EN

Electro surgical unit is a popular modern device. It has been used in operating rooms for cutting, fulguration and coagulation of human tissues. ESU generates high frequency alternating current to prevent the stimulation of nerves and muscles. The objective of this article was to improve the performance of an ESU by controlling its output power under the variation of tissue impedance using proportional integral derivative controller based on particle swarm optimization to achieve minimum overshoots and fast dynamic response. The controller was simulated in MATLAB/SIMULINK to demonstrate the superiority of the suggested method. A comparative analysis was presented with ESU utilizing manual tuning process. The results showed that the proposed controller offered best performance utilizing manual tuning method. Moreover, both of the tuning methods presented better results from open-loop controller as a result of which charring of tissues could be eliminated and clinical operations could be made more efficient.

PL

Aparat elektrochirurgiczny to popularne nowoczesne urządzenie. Stosowano go na salach operacyjnych do cięcia, nakłuwania i koagulacji tkanek ludzkich. ESU generuje prąd zmienny o wysokiej częstotliwości, aby zapobiec stymulacji nerwów i mięśni. Celem tego artykułu była poprawa wydajności ESU poprzez sterowanie jego mocą wyjściową przy zmianie impedancji tkanki przy użyciu proporcjonalnego całkowego regulatora pochodnego opartego na optymalizacji roju cząstek w celu uzyskania minimalnych przeregulowań i szybkiej odpowiedzi dynamicznej. W celu wykazania wyższości zaproponowanej metody przeprowadzono symulację sterownika w programie MATLAB/SIMULINK. Przedstawiono analizę porównawczą z ESU z wykorzystaniem procesu strojenia ręcznego. Wyniki pokazały, że proponowany regulator oferował najlepszą wydajność przy zastosowaniu metody strojenia ręcznego. Co więcej, obie metody strojenia dały lepsze wyniki w przypadku sterowania z otwartą pętlą, w wyniku czego można było wyeliminować zwęglanie tkanek i zwiększyć efektywność operacji klinicznych.

2

Control of the mobile robot using controllers of types P, PI, PID

84%

Skrobek D. , Cekus D. , Zając T.

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2018

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tom Vol. 17, nr 1

69--78

EN

The paper presents a method for control of a mobile robot. The task of the Line-follower was to cover the route set programmatically as accurately as possible using the controllers P, PI or PID without the use of sensors to detect the line. The work also consists of a description of the mobile robot development and the results of the experimental research with discussion.

3

Research on improved sparrow search algorithm for PID controller parameter optimization

84%

Zhang M. , Xu C. , Xu D. , Ma G. , Han H. , Zong X.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2023

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tom Vol. 71, nr 6

art. no. e147344

EN

PID controllers are crucial for industrial control because of their simple structure and good robustness. In order to further improve the accuracy of PID controllers, this paper proposes an improved sparrow search algorithm (ISSA) to prevent the problem of the algorithm being prone to falling into the local optimum at the late stage of iteration. Based on the standard sparrow search algorithm, the position update formula and the step size control parameter are optimized to help quickly jump out of the local, and to obtain the optimal solution in the whole domain. Finally, to verify the accuracy and stability of the improved algorithm, nine standard test functions are first simulated. Then, the PID parameter optimization tests are finished with the chilled water and battery charging systems, where the lifting load and applying perturbation are carried out. Both the simulation and test results show that ISSA improves the convergence speed and accuracy, and performs better in terms of stability.

4

Research of an omnidirectional mecanum-wheeledplatform with a fuzzy logic controller

67%

Typiak A. , Rykała Ł.

Journal of KONES

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2018

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tom Vol. 25, No. 1

423--432

EN

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.

5

Algorytm sterowania czterowirnikowcem

59%

Barański P. , Polańczyk M. , Strumiłło P.

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tom Vol. 52, nr 9

135-138

PL

W artykule omówiono prosty algorytm sterowania platformą latającą złożoną z czterech silników i śmigieł o stałym skoku. Stanowi to dużą zaletę w porównaniu do helikopterów gdzie wymagane są skomplikowane i drogie śmigła o zmiennym skoku. W algorytmie sterowania platformy zastosowano kontroler PID. Do pomiaru położenia platformy latającej wykorzystywany jest czujnik przyśpieszenia oraz żyroskop. Informacje z tych dwóch czujników są integrowane za pomocą filtracji Kalmana w celu uzyskania lepszej estymacji położenia platformy.

EN

The article presents a simple algorithm for controlling a quadcopter composed of four engines an constant pitch propellers. The algorithm is based on a PID controller. The posture of the quadcopter is estimated on the base of an accelerometer and a gyroscope. The data is integrated by a Kalman filter to achieve accurate estimates of the vehicle posture.