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  • 标题:Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator
  • 本地全文:下载
  • 作者:Mr. Farzin Piltan ; Mr. N. Sulaiman ; Mr. Arash Zargari
  • 期刊名称:International Journal of Artificial Intelligence and Expert Systems (IJAE)
  • 电子版ISSN:2180-124X
  • 出版年度:2011
  • 卷号:2
  • 期号:4
  • 页码:184-194
  • 出版社:Computer Science Journals
  • 摘要:In this study, an on-line tunable gain model free PID-like fuzzy controller (GTFLC) is designed for three degrees of freedom (3DOF) robot manipulator to rich the best performance. Fuzzy logic controller is studied because of its model free and high performance. Today, robot manipulators are used in unknown and unstructured environment and caused to provide sophisticated systems, therefore strong mathematical tools are used in new control methodologies to design adaptive nonlinear robust controller with acceptable performance (e.g., minimum error, good trajectory, disturbance rejection). The strategies of control robot manipulator are classified into two main groups: classical and non-classical methods, however non linear classical theories have been applied successfully in many applications, but they also have some limitation. One of the most important nonlinear non classical robust controller that can used in uncertainty nonlinear systems, are fuzzy logic controller. This paper is focuses on applied mathematical tunable gain method in robust non classical method to reduce the fuzzy logic controller limitations. Therefore on-line tunable PID like fuzzy logic controller will be presented in this paper.
  • 关键词:Tunable Gain; Robot Manipulator; Fuzzy Logic Controller; On-line Tunable Gain
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