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Guidance Laws With Input Constraints and Actuator Failures
Author(s) -
Fei Liao,
Haibo Ji
Publication year - 2016
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1199
Subject(s) - control theory (sociology) , actuator , fault tolerance , interception , convergence (economics) , engineering , control (management) , control engineering , computer science , law , stability (learning theory) , artificial intelligence , ecology , machine learning , economics , reliability engineering , biology , economic growth , political science
A novel three‐dimensional fault‐tolerant control guidance law is proposed for interception of maneuvering targets in the presence of external disturbances, actuator failures, and control input constraints. The input‐to‐state stability (ISS) method is introduced to design the fault‐tolerant control guidance law to guarantee robust tracking of a maneuvering target. Then, a saturated fault‐tolerant control guidance law is constructed using a modified saturation function to ensure the resulting control signal will never incur input constraints, and the convergence to a small neighborhood of origin is ensured in theory. Simulation results show that the presented approach is effective in achieving a successful interception against target maneuvers, external disturbances, actuator failures, and control input constraints.