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基于模煳干扰观测器的自适应二阶动态滑模控制蒲明.pdf
28 6 Vol. 28 No. 6
2011 6 Control Theory Applications Jun. 2011
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: TP273 : A
Adaptive second-order dynamic sliding-mode control based on
fuzzy disturbance-observer
PU Ming, WU Qing-xian, JIANG Chang-sheng, CHENG Lu
(Lab of Pattern Recognition and Intelligent Control, College of Automation Engineering, Nanjing University of Aeronautics and
Astronautics, Nanjing Jiangsu 210016, China)
Abstract: In the sliding-mode control of nonlinear systems with uncertainties and disturbances, we prove that the partial
derivative of the Gaussian fuzzy basic function vector with respect to the state vector is bounded under any condition, thus
resolving the key problem in combining a second-order dynamic sliding-mode control with the fuzzy identification. In
addition, we design a second-order dynamic terminal-sliding-mode control which converges in a finite period of time
without chattering. The output of the fuzzy disturbance-observer is employed as the compensation signal for the adaptive
robust control. The stability of the system is proved by using Lyapunov theorem. The proposed control scheme is applied
to the attitude-angles tracking of a near space vehicle; the increment of the convergence time in this application of higher-
order sliding-mode control has been analyzed. Results show that this control scheme effectively suppresses the chattering
and is with strong robustness, fast tracking spee
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