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This paper presents a closed loop vector control for an interior permanent magnet synchronous motor (IPMSM) drive incorporating a neuro-fuzzy controller (NFC) and a fuzzy logic controller (FLC). The NFC serves as the speed controller of the drive. It is designed so as to generate the appropriate command q-axis current and ensure dynamic speed control. The back-propagation technique is used for the...
The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements. This necessitates a very fast and accurate controller to meet as much control objectives, as possible. Therefore, this paper deals with an artificial intelligence...
Neural network inverse control is applied to doubly-fed generation system, and the mathematical model of inverse system is derived from the power control model of the doubly-fed induction generator. Through the proper selection of input and output signals of inverse control system and the use of neural network inverse control algorithm, the system is decomposed into two single-variable linear subsystems...
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...
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