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Proceedings Paper

Model-following adaptive second-order sliding model control of a class of nonlinear uncertain systems
Author(s): Anli Shang; Wenjin Gu
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Paper Abstract

In this paper, a novel algorithm model-following adaptive second-order sliding model control is proposed for a class of nonlinear uncertain systems. Second-order sliding model control can effectively counteract chattering that conventional sliding model control hold. The difference between the output of pant and the output of the followed model is regarded as sliding variable; the algorithm presented here introduced a suitable commutation logic that prevents uncontrollable growth of the uncertainties in the control system. Thank to this algorithm, the nonlinear uncertain systems are properly controlled. The example of simulation shows that the method is very effective for a class of nonlinear uncertain systems, and can be used in real time online control.

Paper Details

Date Published: 2 September 2003
PDF: 4 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.522317
Show Author Affiliations
Anli Shang, Naval Aeronautical Engineering Academy (China)
Wenjin Gu, Naval Aeronautical Engineering Academy (China)


Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

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