Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/54187
Title: A gain scheduled sliding mode control scheme using filtering techniques with applications to multilink robotic manipulators
Authors: Xu, J.-X. 
Pan, Ya.-J.
Lee, T.-H. 
Issue Date: Dec-2000
Source: Xu, J.-X.,Pan, Ya.-J.,Lee, T.-H. (2000-12). A gain scheduled sliding mode control scheme using filtering techniques with applications to multilink robotic manipulators. Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME 122 (4) : 641-649. ScholarBank@NUS Repository.
Abstract: In this paper, a gain scheduled sliding mode control (SMC) scheme is proposed for tracking control tasks of multilink robotic manipulators. In the new scheme, filtering techniques play the key role in acquiring equivalent control signals and scheduling the switching control gain automatically. Once the system enters the sliding motion, two classes of low-pass filters are introduced to work concurrently for the purpose of acquiring equivalent control, reducing the switching gain effectively, and as a result eliminating chattering. By virtue of equivalent control theory, one class of filters is designed to capture the "average" profile of the switching quantity, which is in proportion to the desired control input. Meanwhile, another class of low-pass filters is added to scale down the gain of the switching control. The convergence property of the proposed control scheme is rigorously analyzed in time domain and the frequency domain knowledge can be easily incorporated into the construction of the two classes of filters. Excellent tracking performance is achieved with the direct manipulation of switching control input using filtering technology and with the integration of both time domain and frequency domain system knowledge in controller design.
Source Title: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME
URI: http://scholarbank.nus.edu.sg/handle/10635/54187
ISSN: 00220434
Appears in Collections:Staff Publications

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