25 / 2025-03-25 10:49:35

Quantiffed fault-tolerant control for stochastic distribution systems with actuator and sensor faults

fault-tolerant control, actuator and sensor faults, signal quantization, minimum rational entropy

The quantiffed fault-tolerant control (FTC) problem is studied for the stochastic distribution system (SDS) with signal quantization, actuator fault and sensor fault. An innovative two-step fuzzy modeling method is ffrst used to systematically construct the static and dynamic models of the system, which lays a solid foundation. Subsequently, an adaptive augmented observer is designed, which is unique in that it can simultaneously identify sensor and actuator faults. Furthermore, an innovative comprehensive FTC approach that integrates a virtual controller with a minimum rational entropy (MRE) fault-tolerant controller is introduced. The adverse effect of faults on the system can be effectively compensated through this strategy. Finally, the efffcacy of the proposed FTC scheme is veriffed through the simulation example