Fault-tolerant control strategies based on fuzzy neural networks for safe coal-mining

摘要

Due to its great potential value in theory and application, fault-tolerant control strategies of nonlinear coal-mining systems, especially combining with intelligent control methods, have been a focus in the academe. A fault-tolerant control method based on fuzzy neural networks presents nonlinear systems in this paper. The fault parameters was designed to detect the fault, and adaptive updating method was intro duced to estimate and tracking fault, fuzzy neural networks was used to adjust the fault parameters and construct automated fault diagnosis, and the fault compensation control force, which given by fault estima tion, was used to realize adaptive fault-tolerant control. This framework leaded to a simple structure, an accurate detection and a high robustness. The simulation results in induction motor showed that it was still able to work well with high dynamic performance and control precision under the condition of motor parameters' variation fault and load torque disturbance.