Wyniki wyszukiwania - BazTech

1

Modelling and an adaptive fuzzy logic controller of solar thermal power plant

Gamra Mostefa, Guentri Hocine, Alaoui Tayeb, Chaker Abdelkader

Przegląd Elektrotechniczny

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2023

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R. 99, nr 7

257--263

EN

This article aims to model and control a solar thermal power plant. The modeling and the dynamic behavior of the system have been well studied and carried out the variation of the exchanger temperature by acting on different parameters, such as the length, the exchange surface, and the exchange coefficient. A comparison was made between conventional PI control and an advanced AFLC-PI fuzzy logic-based control to drive the steam turbine. This advanced command improves the system's robustness with respect to internal disturbances (parametric variations) and external disturbances (sudden pressure variations).

PL

Celem artykułu jest modelowanie i sterowanie elektrownią słoneczną. Modelowanie i dynamiczne zachowanie systemu zostały dobrze zbadane i przeprowadzono zmianę temperatury wymiennika poprzez oddziaływanie na różne parametry, takie jak długość, powierzchnia wymiany i współczynnik wymiany. Dokonano porównania między konwencjonalnym sterowaniem PI a zaawansowanym sterowaniem opartym na logice rozmytej AFLC-PI do napędzania turbiny parowej. To zaawansowane polecenie poprawia odporność systemu na zakłócenia wewnętrzne (zmiany parametryczne) i zewnętrzne (nagłe zmiany ciśnienia).

2

Obstacle avoidance method of autonomous vehicle based on fusion improved A*APF algorithm

Qian Yubin, Sun Hongtao, Feng Song

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2023

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Vol. 71, nr 2

art. no. e144624

EN

This paper proposes an autonomous obstacle avoidance method combining improved A-star (A*) and improved artificial potential field (APF) to solve the planning and tracking problems of autonomous vehicles in a road environment. The A*APF algorithm to perform path planning tasks, and based on the longitudinal braking distance model, a dynamically changing obstacle influence range is designed. When there is no obstacle affecting the controlled vehicle, the improved A* algorithm with angle constraint combined with steering cost can quickly generate the optimal route and reduce turning points. If the controlled vehicle enters the influence domain of obstacle, the improved artificial potential field algorithm will generate lane changing paths and optimize the local optimal locations based on simulated annealing. Pondering the influence of surrounding participants, the four-mode obstacle avoidance process is established, and the corresponding safe distance condition is analyzed. A particular index is introduced to comprehensively evaluate speed, risk warning, and safe distance factors, so the proposed method is designed based on the fuzzy control theory. In the tracking task, a model predictive controller in the light of the kinematics model is devised to make the longitudinal and lateral process of lane changing meet comfort requirements, generating a feasible autonomous lane-change path. Finally, the simulation was performed in the Matlab/Simulink and Carsim combined environment. The proposed fusion path generation algorithm can overcome the shortcomings of the traditional single method and better adapt to the dynamic environment. The feasibility of the obstacle avoidance algorithm is verified in the three-lane simulation scenario to meet safety and comfort requirements.

3

Application of a fuzzy controller in the process of automated polyethylene film thickness control

Jardzioch Andrzej, Marczak Wioletta

Applied Computer Science

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2021

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Vol. 17, no 3

31--46

EN

The present article aims to describe the design of a fuzzy controller used for automated control of the thickness of the extruded polyethylene film effected by the adjustment of the actuator in the cooling ring. In order to determine whether the designed controller operates properly, a model extruder was created and a simulation study was carried out. The Simulink programming environment integrated with Matlab was used for the development of the fuzzy controller and the simulation. The conducted simulation study demonstrated that the implementation of the designed controller would enable the adjustment of thickness on the perimeter of the film tube and quick reaction to possible departure in the assumed film thickness in mass production.

4

Design of Intelligent PD Controller for Water Supply in Healthcare Systems

Mohanty M. D., Mohanty M. N.

Annals of Computer Science and Information Systems

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2018

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Vol. 14

93--96

EN

The necessity of clean environment is the major aspect in this modern age. This maintains a healthy environment. Also several trials have made with multidisciplinary researchers for development of healthy environment. However, it is even important to facilitate the unhealthy people in the healthcares. Some extent technology has an important role to support it. In this paper, a case study of water supply in the modern health care units is analyzed. This work describes the application of rule based Fuzzy Logic for control operation in water supply section. To refine fuzzy rules' initial approximate set automatically, a self-organizing fuzzy controller has been used. The quality factor is increased by applying the PD-type fuzzy controller. To make the system robust, the controller has been designed with Fuzzy Logic rules. The simulation results confirm the advantages and demonstrate for better dynamic behavior and performance, as well as perfect control with no overshoot. For low energy consumption, either the energy input is decreased or the efficiency of the mechanical transmission and processes has been increased. Performance of these new controllers has been verified through simulation using MATLAB.