Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.
A hybrid method combining an evolutionary search strategy, interval mathematics and pole assignment-based closed-loop control synthesis is proposed to design a robust TSK fuzzy controller. The design objective is to minimize the number of linear controllers associated with rule conclusions and tune the triangular-shaped membership function parameters of a fuzzy controller to satisfy stability and desired dynamic performances in the presence of system parameter variation. ; The robust performance objective function is derived based on an interval Diophantine equation. Thus, the objective of a fuzzy logic-based control scheme is to place all the closed-loop control system characteristic polynomial coefficients within desired intervals. The reproduction process in the proposed Evolutionary Algorithm (EA) is based on the arithmetical crossover, uniform and non-uniform mutation along with gene deletion/insertion mutation ensuring a diversity of genomes sizes, as well as a diversity in the parameter space of membership functions. ; The proposed algorithm was implemented to design a fuzzy logic-based anti-sway crane control system taking into consideration the rope length and the mass of a payload variation. The results of experiments conducted using the EA for different conditions assumed for system parameter intervals and desired closed-loop system performances are compared with results achieved using the iterative procedure which is also described in the paper.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 23, number 4 (2013) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
14 lip 2025
23 kwi 2024
145
https://zbc.uz.zgora.pl/repozytorium/publication/88695
| Nazwa wydania | Data |
|---|---|
| Evolutionary optimization of interval mathematics-based design of a TSK fuzzy controller for anti-sway crane control | 14 lip 2025 |
Piegat, Andrzej Korbicz, Józef (1951- ) - red.
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