Premium
Finite‐time adaptive control of high‐order nonlinear systems with unknown control coefficients and actuator fault
Author(s) -
Ma Jiali,
Park Ju H.,
Xu Shengyuan
Publication year - 2020
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.5204
Subject(s) - control theory (sociology) , integrator , nonlinear system , actuator , controller (irrigation) , adaptive control , a priori and a posteriori , fault (geology) , computer science , stability (learning theory) , control (management) , control engineering , engineering , philosophy , physics , bandwidth (computing) , epistemology , quantum mechanics , artificial intelligence , machine learning , seismology , agronomy , biology , geology , computer network
Summary In this article, the global finite‐time adaptive control problem is considered for high‐order nonlinear systems in the presence of unknown control coefficients, actuator fault, and external disturbance. Different from the previous results, a tune parameter is introduced to directly compensate the unknown control coefficients rather than the traditional Nussbaum‐gain function. Without requiring a priori knowledge of the uncertainties, a switching‐type adaptive controller is proposed by adding a power integrator method. Based on the modified switching mechanism, the controller parameter can be tuned online such that global finite‐time stability can be achieved. Finally, a simulation example combined with comparison is provided to verify the effectiveness of the proposed method.