Temat: foraging - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Evolutionary computation approaches to tip position controller design for a two-link flexible manipulator
Autorzy:: Subudhi, B.
Ranasingh, S.
Swain, A. K.
Powiązania:: https://bibliotekanauki.pl/articles/229971.pdf
Data publikacji:: 2011
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: flexible manipulator
genetic algorithm
bacteria foraging
fitness function
Opis:: Controlling multi-link flexible robots is very difficult compared rigid ones due to inter-link coupling, nonlinear dynamics, distributed link flexure and under-actuation. Hence, while designing controllers for such systems the controllers should be equipped with optimal gain parameters. Evolutionary Computing (EC) approaches such as Genetic Algorithm (GA), Bacteria Foraging Optimization (BFO) are popular in achieving global parameter optimizations. In this paper we exploit these EC techniques in achieving optimal PD controller for controlling the tip position of a two-link flexible robot. Performance analysis of the EC tuned PD controllers applied to a two-link flexible robot system has been discussed with number of simulation results.
Źródło:: Archives of Control Sciences; 2011, 21, 3; 269-285
1230-2384
Pojawia się w:: Archives of Control Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Evolutionary computing approaches to optimum design of fuzzy logic controller for a flexible robot system
Autorzy:: Subudhi, B.
Ranasingh, S.
Powiązania:: https://bibliotekanauki.pl/articles/230107.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: flexible manipulator
fuzzy logic
genetic algorithm
bacteria foraging optimization
tip position tracking
Opis:: This paper presents the design of a Fuzzy Logic Controller (FLC) whose parameters are optimized by using Genetic Algorithm (GA) and Bacteria Foraging Optimization (BFO) for tip position control of a single link flexible manipulator. The proposed FLC is designed by minimizing the fitness function, which is defined as a function of tip position error, through GA and BFO optimization algorithms achieving perfect tip position tracking of the single link flexible manipulator. Then the tip position responses obtained by using both the above controllers are compared to suggest the best controller for the tip position tracking.
Źródło:: Archives of Control Sciences; 2013, 23, 4; 395-412
1230-2384
Pojawia się w:: Archives of Control Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Setpoint weighted PID controller tuning for unstable system using heuristic algorithm
Autorzy:: Rajinikanth, V.
Latha, K.
Powiązania:: https://bibliotekanauki.pl/articles/229344.pdf
Data publikacji:: 2012
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: setpoint weighted PID
unstable system
particle swarm optimization (PSO)
bacterial foraging optimization
objective function
Opis:: Most of the real time chemical process loops are unstable in nature and designing a suitable controller for such systems are difficult than open loop stable processes. In this work, an attempt is made with a two degree of freedom setpoint weighted PID controller tuning procedure for a class of unstable systems using the recent heuristic algorithms such as Particle Swarm Optimization and Bacterial Foraging Optimization. The problem considered in this study is to aptly tune the controller in order to enhance the overall closed loop performance. A novel objective function proposed in this study is used to monitor the heuristic algorithms in order to get the optimal controller parameters like Kp, Ki, Kd, and alpha with minimized iteration number. The proposed method is validated with a simulation study and this helps to accomplish enhanced system performance such as smooth reference tracking, satisfactory disturbance rejection, and error minimization for a class of unstable systems.
Źródło:: Archives of Control Sciences; 2012, 22, 4; 481-505
1230-2384
Pojawia się w:: Archives of Control Sciences
Dostawca treści:: Biblioteka Nauki

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