Output feedback tracking control of uncertain robot manipulators via higher-order sliding-mode observer and fuzzy compensator

2013 ◽  
Vol 27 (8) ◽  
pp. 2487-2496 ◽  
Author(s):  
Mien Van ◽  
Hee-Jun Kang ◽  
Young-Soo Suh ◽  
Kyoo-Sik Shin
Keyword(s):  
Output Feedback ◽  
Tracking Control ◽  
Sliding Mode ◽  
Robot Manipulators ◽  
Higher Order ◽  
Sliding Mode Observer ◽  
Fuzzy Compensator ◽  
Feedback Tracking ◽  
Uncertain Robot

Adaptive fuzzy quasi-continuous high-order sliding mode controller for output feedback tracking control of robot manipulators

2013 ◽  
Vol 228 (1) ◽  
pp. 90-107 ◽  
Author(s):  
Van Mien ◽  
Hee-Jun Kang ◽  
Kyoo-Sik Shin
Keyword(s):  
Output Feedback ◽  
Tracking Control ◽  
Sliding Mode ◽  
Robot Manipulators ◽  
Second Order ◽  
High Order ◽  
Sliding Mode Controller ◽  
Sliding Manifold ◽  
Feedback Tracking ◽  
Second Order Sliding Mode

This article develops a new output feedback tracking control scheme for uncertain robot manipulators with only position measurements. Unlike the conventional sliding mode controller, a quasi-continuous second-order sliding mode controller (QC2C) is first designed. Although the QC2C produces continuous control and less chattering than conventional sliding mode and other high-order sliding mode controllers, chattering exists when the sliding manifold is defined by the equation [Formula: see text]. To alleviate the chattering, an adaptive fuzzy QC2C (FQC2C) is designed, in which the fuzzy system is used to adaptively tune the sliding mode controller gain. Furthermore, in order to eliminate chattering and achieve higher tracking accuracy, quasi-continuous third-order sliding mode controller (QC3C) and fuzzy QC3C (FQC3C) are investigated. These controllers incorporate a super-twisting second-order sliding mode observer for estimating the joint velocities, and a robust exact differentiator to estimate the sliding manifold derivative; therefore, the velocity measurement is not required. Finally, computer simulation results for a PUMA560 industrial robot are also shown to verify the effectiveness of the proposed strategy.

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