This paper develops a radial basis function (RBF) artificial neural network (ANN) nonlinear prediction model based adaptive PID controller for SRM. ANN, under ...
Oct 3, 2006 · This paper develops a radial basis function (RBF) artificial neural network (ANN) nonlinear prediction model based adaptive PID controller for ...
An adaptive learning algorithm is adopted in this paper that is to adjust the learning rate according to the error to increase the convergence speed of ANN ...
The inherent nonlinear of switched reluctance motor (SRM) makes it hard to get a good performance by using the conventional PID controller to the speed control ...
This paper develops a radial basis function (RBF) artificial neural network (ANN) nonlinear prediction model based adaptive PID controller for SRM. ANN, under ...
An adaptive learning algorithm is adopted in this paper that is to adjust the learning rate according to the error of ANN to increase the convergence speed ...
Jan 2, 2018 · RBF ANN nonlinear prediction model based adaptive PID control of switched reluctance motor drive. Hits: Journal:Lecture Notes in Computer ...
Abstract: The severe nonlinearity of switched reluctance motor (SRM) make it hard to get a good control performance with the conventional PID controller.
Missing: RBF ANN Prediction
In this paper, a radial basis function (RBF) artificial neural network (NN) based adaptive PI controller for BLDCM is developed. The RBF NN has a strong ability ...
[6] Xia C L and Xiu J 2007 RBF ANN Nonlinear Prediction Model Based Adaptive PID Control of Switched Reluctance Motor Drive Proceedings of the CSEE 27 626-635.