期刊
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷 47, 期 8, 页码 1854-1862出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2016.2562502
关键词
Composite fuzzy learning; disturbance observer; dead zone; serial-parallel identification model
资金
- National Natural Science Foundation of China [61304098, 61304001]
- Aeronautical Science Foundation of China [2015ZA53003]
- Natural Science Basic Research Plan in Shaanxi Province [2016KJXX-86, 2014JQ8326, 2015JM6272]
- Fundamental Research Funds for the Central Universities [3102015AX001, 3102015BJ008, 3102015BJ(II)CG017]
- Beijing Natural Science Basic Research Plan [4142028]
This paper investigates the disturbance observer-based composite fuzzy control of a class of uncertain nonlinear systems with unknown dead zone. With fuzzy logic system approximating the unknown nonlinearities, composite learning is constructed on the basis of a serial-parallel identifier. By introducing the intermediate signal, the disturbance observer is developed to provide efficient learning of the compounded disturbance which includes the effect of time-varying disturbance, fuzzy approximation error, and unknown dead zone. Based on the disturbance estimation and fuzzy approximation, the adaptive fuzzy controller is synthesized with novel updating law. The stability analysis of the closed-loop system is rigorously established via Lyapunov approach. The performance of the proposed controller is verified via simulation that faster convergence and higher precision are obtained.
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