Comparative Study of Neural Network Algorithms for Servo Control Applications
نویسندگان
چکیده
AC servo systems are extensively used in robotic actuators and are competing with DC servo motors for motion control because of their favorable electrical and mechanical properties. Efficient control schemes for servo motors are required to ensure performance in presence of system parameter variations. Neural networks have emerged as a suitable tool for control applications especially under situations where the plant parameters are varying and a robust control is required. This paper presents a servo control approach based on direct torque control using the neural networks. The main emphasis is on studying the different neural network algorithms and there suitability for servo controls applications.
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