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In a nuclear power plant, the water level in the steam generator (SG) is one of main causes that shutdown the reactor, this problem has been of great concern for many years as the SG is a highly nonlinear system showing inverse response dynamics. For controlling the SG water level at a certain range, adaptive neuro-fuzzy inference system (ANFIS) PID controller is designed. It is based on the adaptive...
This paper studies the problem of fault-tolerant control (FTC) for a class of uncertain nonlinear systems which cannot be feedback linearized. These systems are unknown in their nonlinearities and subject to both lock-in-place and loss of effectiveness actuator faults. A novel fault-tolerant control approach is proposed by embedding adaptive fuzzy approximators into the backstepping design procedure...
Adaptive fuzzy control is used to control a class of unknown nonlinear systems with perturbed dead-zone input in this paper. A new dead-zone actuator model which contains time-varying and perturbed actuation gain is proposed. The dead-zone nonlinearity is treated as a linear term, a nonlinear term and a disturbance-like term. Nonlinearly parameterized fuzzy logic systems are used to approximate the...
A class of unknown nonlinear systems subject to uncertain actuator faults and external disturbances will be studied in this paper with the help of fuzzy approximation theory. Using backstepping technique, a novel adaptive fuzzy control approach is proposed to accommodate the uncertain actuator faults during operation and deal with the external disturbances. The considered faults are modeled as both...
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