篇名 | ACA-based Fuzzy Controller Design for Robot Soccer |
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卷期 | 11:3 |
作者 | Juing-Shian Chiou 、 Kuo-Yang Wang |
頁次 | 164-173 |
關鍵字 | Ant colony algorithm 、 Fuzzy logic controller 、 Mobile robot 、 Robot soccer 、 EI 、 SCI 、 SCIE 、 Scopus |
出刊日期 | 200909 |
This paper presents the use of an ant colony algorithm combined with a fuzzy logic controller (ACA-FLC) to optimize the movement of a soccer robot. Through ACA-FLC processes, the optimal angle and velocity of a moving robot in the work space were determined. At later stages of the study, more effective movement was obtained from ACA-FLC processes. The experimental scenarios involved a simulated 5-vs-5 soccer game and a MATLAB simulation, in which the proposed system dynamically directed the robot to the target position. The simulation results show that the ACA-FLC was able to choose a better position under any conditions it encountered. The ACA-based method is proposed to determine appropriate membership functions automatically for the fuzzy system so that the controlled robot can effectively move to any desired position in a 2-D space. Following the steps outlined above, the proposed ACA-FLC helped the robot reach the target quickly and effectively.