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In this paper, a sensorless neural network speed control strategy of permanent magnet synchronous machines (PMSMs) is introduced as an alternative to conventional control techniques. The control strategy achieves accurate tracking by making use of artificial neural network (ANN) learning capabilities to approximate the machine's nonlinear dynamics. The ANN controller's output is then fed to a Space...
In this paper, we introduce an artificial neural network (ANN) based motion control methodology of micro actuators for microelectromechanical systems (MEMS). The control strategy is based on a multilayer perception (MLP) trained online using a Lyapunov-based learning technique. The controller achieves high precision tracking under unknown system dynamics including hysteresis and external disturbance...
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