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Robust observer-based adaptive fuzzy sliding mode controller
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DOI：10.1016/j.ymssp.2016.01.015.png)
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摘要
En 中文
In this paper, a new observer-based adaptive fuzzy integral sliding mode controller is proposed based on the Lyapunov stability theorem. The plant is subjected to a square integrable disturbance and is assumed to have mismatch uncertainties both in state-and input-matrices. Based on the classical sliding mode controller, the equivalent control effort is obtained to satisfy the sufficient requirement of sliding mode controller and then the control law is modified to guarantee the reachability of the system trajectory to the sliding manifold. In order to relax the norm-bounded constrains on the control law and solve the chattering problem of sliding mode controller, a fuzzy logic inference mechanism is combined with the controller. An adaptive law is then introduced to tune the parameters of the fuzzy system on-line. Finally, for evaluating the controller and the robust performance of the closed-loop system, the proposed regulator is implemented on a real-time mechanical vibrating system. (C) 2016 Elsevier Ltd. All rights reserved.
Keyword:
Lyapunov stability
Robust control
Disturbance rejection
Sliding mode
Fuzzy system
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IF:
8.9
论文数:
1.3W
被引数:
6.6W
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