Improved sliding mode robot control-a fuzzy approach

B. Iliev, I. Kalaykov
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引用次数: 4

Abstract

An approach to the design of high performance sliding mode controllers for robot manipulators is presented. It employs a Takagi-Sugeno fuzzy system to describe the sliding surface. Each rule of this system represents the maximum slope sliding line for a certain set of parameters given in the premise part. Hence, the slope of the surface is adapted according to the current state of the manipulator. This new algorithm provides nearly time-optimal performance and still retains the robustness, typical for systems in sliding mode. The maximum slope sliding surfaces are designed using knowledge about robot's physical properties.
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改进滑模机器人控制的模糊方法
提出了一种高性能滑模控制器的设计方法。它采用Takagi-Sugeno模糊系统来描述滑动面。该系统的每条规则表示在前提部分给定的一组参数下的最大斜率滑动线。因此,根据机械手的当前状态调整曲面的斜率。这种新算法提供了近乎时间最优的性能,并且仍然保持了滑模系统典型的鲁棒性。利用机器人的物理特性知识设计最大斜坡滑动面。
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