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The paper is proposed maximum torque control of SynRM drive using adaptive learning mechanism-fuzzy neural network(ALM-FNN) controller and artificial neural network(ANN). The control method is applicable over the entire speed range and considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current for maximum torque...
This paper is proposed an efficiency optimization control algorithm for a synchronous reluctance motor(SynRM) which minimizes the copper and iron losses. The design of the speed controller based on learning mechanism-fuzzy neural networks(LM-FNN) controller that is implemented using adaptive, fuzzy control and neural networks. The control performance of the LM-FNN controller is evaluated by analysis...
This paper presents hybrid PI (HBPI) controller of IPMSM drive using fuzzy adaptive mechanism control. In general, PI controller in computer numerically controlled machine process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness, fixed gain PI controller. HBPI controller proposes a new method based self tuning PI controller. HBPI controller...
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