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Optimal control of nonlinear system based on linear extended state observer

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3 Author(s)
Xu Zhicai ; Key Lab. of Minist. of Educ. for Image Process. & Intell. Control, Huazhong Univ. of Sci. & Technol., Wuhan, China ; Wang Zhishen ; Wang Yongji

Systems with unknown nonlinear characteristics and unknown disturbances are linearized using dynamic feedback linearization based on linear extended state observer. Also a method for the parameter regulation is presented. And then for a given performance index, an optimal control law is designed using LQR theory. Finally numerical simulation results demonstrate that this control method can meet the performance requirement with good robustness.

Published in:

Control Conference (CCC), 2011 30th Chinese

Date of Conference:

22-24 July 2011

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